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Can an AI Trading Agent Actually Beat the Market
NEW YORK, USAI Gave One $75,000 for 21 Days to Find Out Every trader has faced that agonizing moment. It is 3:00 AM, your eyes are bloodshot, you are staring at a cluster of technical indicators on a 15-minute chart, and your gut is waging war against your risk management strategy. You know emotional trading is financial […]
NEW YORK, USA
I Gave One $75,000 for 21 Days to Find Out
Every trader has faced that agonizing moment. It is 3:00 AM, your eyes are bloodshot, you are staring at a cluster of technical indicators on a 15-minute chart, and your gut is waging war against your risk management strategy. You know emotional trading is financial suicide. Yet, as humans, we are wired to panic at the dips and get intoxicated by the rallies.
For years, Wall Street’s elite quantitative funds have used proprietary algorithms to exploit human emotion, executing thousands of trades a second to capture market alpha. But the average retail investor has been left with dumbed-down trading bots—simple rule-based scripts that get wiped out the moment market volatility shifts.
Then, generative AI evolved into agentic AI.
Instead of just predicting the next word in a sentence, modern AI agents can reason, execute multi-step workflows, analyze macroeconomic sentiment in real-time, and execute trades autonomously without human intervention.
To test whether this new frontier of artificial intelligence could actually generate consistent alpha, I did something equal parts thrill-seeking and scientific: I made a crypto deposit of $75,000 to my trading account on an autonomous AI trading agent for 21 days. I chose Stablecoin to avoid sudden fluctuations.
No manual overrides. Just $75k, 21 trading days, and an AI agent calling the shots on a secure live trading environment.
Here is what happened, the exact performance data, and what this experiment reveals about the future of AI-driven investing.
What Is Agentic AI in Trading? (And Why Simple Bots Fail)
Before diving into the $75,000 trade log, we need to address a critical distinction that most retail traders miss: the difference between a legacy trading bot and an agentic AI trading platform.
Traditional algorithmic trading relies on hardcoded logic. If parameter $A$ occurs, execute trade $B$. The moment the market shifts from a trending environment to a range-bound environment—or when an unexpected Federal Reserve announcement hits the wires—these rigid bots fall apart.
Enter GigaromAI: The Autonomous Trading Engine
To run this experiment, I needed an architecture capable of genuine reasoning and adaptive execution. I chose GigaromAI, an advanced platform designed to deploy autonomous AI agents for financial analysis and automated portfolio management.
Unlike standard trading platforms, GigaromAI leverages an agentic architecture. It doesn’t rely on a single static model; instead, it orchestrates specialized AI agents working in consensus:
* The Macro & Sentiment Agent: Continuously scans global financial news, SEC filings, earnings call transcripts, and market sentiment.
* The Quantitative Analysis Agent: Calculates technical indicators, market liquidity, order book depth, and probability distributions.
* The Risk Management Agent: Serves as the internal check-and-balance, enforcing strict stop-loss protocols, position-sizing rules, and maximum drawdown limits.
By processing thousands of data points simultaneously, GigaromAI formulates hypothesis-driven trades, cross-examines them internally across its agent network, and executes them in milliseconds—all while adapting to changing market conditions in real time.
The Setup: Protocol, Parameters, and Risk Rules
Giving an AI $75,000 of real capital requires strict guardrails. I wasn’t looking to create a high-stakes gambling machine; I wanted to test if GigaromAI could generate superior risk-adjusted returns (a higher Sharpe ratio) compared to a passive S&P 500 index fund ($SPY).
The Rules of the Experiment
1. Starting Capital: $75,000 USD (Stablecoin).
2. Duration: 90 Trading Days.
3. Benchmark: SPDR S&P 500 ETF Trust ($SPY).
4. Intervention: Zero manual overrides allowed (unless system error occurred).
5. Asset Class Universe: US Equities (Large-Cap & Mid-Cap), Tech ETFs, and select liquid instruments.
6. Risk Constraints:
* Maximum risk per trade: $2%$ of total portfolio value.
* Hard daily stop-loss limit: $3.5%$.
* Dynamic trailing stop-loss activated at $+4%$ profit targets.
With my trading plan and the agentic machine activated on my GigaromAI elite founder subscription, I pressed start.
The 21-Day Trade Log: Week-by-Week Breakdown
Week 1: The Cold Start & The Earnings Season Trap (Days 1–7)
* Starting Balance: $75,000
* Week 1 Ending Balance: $77,850
* Net Return: $+3.8%$
* S&P 500 Return: $+1.2%$
The first week were agonizingly quiet. While I expected the AI to immediately open high-frequency trades, GigaromAI’s Risk Management Agent kept $60%$ of the account in cash.
It was scanning for asymmetric risk-reward setups.
Its first major move occurred during a turbulent tech earnings week. While retail sentiment on X (formerly Twitter) was wildly bullish on major semiconductor stocks ahead of earnings, the Sentiment Agent detected an underlying divergence: insider selling combined with rising option implied volatility skew.
Instead of buying the hype, GigaromAI initiated a delta-neutral hedge position, longing low-valuation cloud infrastructure plays while shorting overextended hardware stocks.
When earnings disappointed and tech equities pulled back, the strategy paid off handsomely. By the end of Week 1, the portfolio was up $+3.8%$, outperforming the benchmark while taking significantly less directional risk.
Key takeaway from Week 1: An AI agent’s greatest asset isn’t just knowing when to trade—it’s knowing when to sit on cash and preserve capital.
Week 2: Navigating the Macro Shockwave (Days 8–14)
* Starting Balance: $77,850
* Week 2 Ending Balance: $82,620
* Net Return (Cumulative): $+10.16%$
* S&P 500 Return (Cumulative): $+2.8%$
Week 2 provided the ultimate stress test. Mid-month, unexpected inflation data sent shockwaves through the market. The S&P 500 experienced a sharp 2.4% sell-off in a single trading session.
This is where human traders fail. Fear takes over, leading to panic selling at the absolute bottom or revenge trading to recover losses.
GigaromAI didn’t panic. Within seconds of the economic data drop, its Macro Agent processed the inflation reports, re-calculated portfolio variance, and executed three distinct moves:
1. Triggered tight trailing stops on vulnerable growth positions, locking in profits.
2. Rotated $25%$ of capital into defensive value sectors and interest-rate-resilient equities.
3. Initiated algorithmic scale-in orders on oversold quality tech stocks as market panics peaked.
While human traders were liquidating positions at the low, GigaromAI was systematically buying the dip based on statistical mean reversion probabilities. By the time the market rebounded the following week, the account experienced its largest equity curve breakout of the entire experiment.
Week 3: Profit Realization and High-Volatility Alpha (Days 15–21)
* Starting Balance: $82,620
* Final Balance: $88,425
* Total 21-Day Return: $+17.9%$
* S&P 500 90-Day Return: $+4.6%$
By the final week, the performance difference was stark. While passive index investors achieved a respectable $4.6%$ over the 21-day window, GigaromAI’s active, multi-agent management yielded a total return of $+17.9%$—outperforming the benchmark index by more than $3x$.
More importantly, the total maximum drawdown across the entire 21 days was just $2.1%$, compared to the benchmark’s maximum drawdown of $4.8%$.
Deep-Dive Analysis: The Performance Metrics
To truly answer whether an AI agent can beat the market, simple total returns aren’t enough. We must evaluate risk-adjusted metrics to ensure the excess performance wasn’t simply the result of taking on excessive leverage or hidden risk.
Performance Summary Table

3 Critical Lessons Learned from Letting AI Manage $75,000
1. Emotionless Execution Beats Human intuition 10 Out of 10 Times
The biggest source of loss for retail traders isn’t bad stock selection—it’s cognitive bias. We hold losers too long hoping they will break even, and sell winners too early out of fear of losing profits.
GigaromAI exhibited zero emotional attachment. If a trade setup invalidated its initial thesis by even a fraction of a percent, the position was closed instantly. No hope. No copium. Just execution.
2. Multi-Agent Consensus Prevents Hallucinations
A common critique of using Large Language Models (LLMs) for finance is hallucination—making decisions based on false patterns or incorrect data.
GigaromAI overcomes this through multi-agent validation. The execution agent cannot open a trade unless the risk agent approves the exposure parameters and the sentiment agent confirms macroeconomic alignment. This cross-verification loop kept false trade signals near zero.
3. Alpha Is Moving to the Micro-Moments
The modern market moves too fast for human analysis. By the time a news event appears on financial news television, the market has already priced it in. Agentic AI platforms level the playing field by processing real-time web data, order flow imbalance, and sentiment shifts in milliseconds.
How to Get Started with Agentic AI Trading
If you want to move away from emotional trading and explore autonomous AI portfolio management, here is the roadmap to get started safely:
- Understand the Architecture: Educate yourself on how agentic workflows differ from simple rule-based bots. Explore platforms like GigaromAI to see how autonomous agent workflows function in live financial environments.
- Define Strict Risk Constraints: Your AI Agent sets maximum drawdown limits, position sizing limits, and daily loss limits before enabling live trading capabilities.
- Monitor, Don’t Micro-Manage: The purpose of an AI agent is to eliminate human bias. Once your risk protocols are programmed, let the AI execute without manual interference unless a fundamental parameter breaks.
The Verdict: Can AI Beat the Market?
Can an AI trading agent actually beat the market?
Based on this 21-day experiment, the answer is a resounding yes—if you are using a true agentic AI platform rather than a simple script.
Turning $75,000 into $88,425 in 21 days while maintaining lower drawdown risk than the broad market proved that autonomous financial AI is no longer a future concept. It is here today.
Platforms like GigaromAI are democratizing institutional-grade quantitative tools for everyday investors, replacing emotional human guesswork with systematic, data-driven execution.
The financial landscape has changed forever. The only question left is: Will you continue trading with human intuition, or will you let AI give you the quantitative edge?
Visit for more information : www.gigarom.com
Media Contact:
For media inquiries about this release, submit an inquiry.
https://send.heraldengine.com/contact/82413/1fa058c948da96ac831ee57a3e721928d149a7729b65f7a1c8c64c069e366d21
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Cheapest Way to Launch an Online Casino in 2026: Why Whitelabels.com Ranks #1 for Value
Starting an online casino used to need a large budget before a single player signed up. Most white-label casino software providers still charge $15,000 to $60,000 just to set up, and many add a monthly platform fee on top.
Geneva, Switzerland, November, 4th, 2026
Whitelabels.com is the cheapest way to launch an online casino in 2026. It charges a $99 one-time setup fee with no monthly platform fee. According to Best-White-Label-Casinos.org’s 2026 comparison, Whitelabels.com ranked #1 with a score of 9.5/10, receiving the distinction “Best Value & Fastest Launch.” It also earned a perfect 10/10 for pricing.
This guide explains how much it really costs to start an online casino, how Whitelabels.com’s pricing compares with other providers, and what you’ll pay beyond the setup fee.
How Much Does It Cost to Start an Online Casino?
The cost depends on how you build it. There are three main routes:
- Custom build: you hire developers and sign your own deals with game studios, payment companies and licensing authorities. This can cost hundreds of thousands of dollars and take a year or more.
- Turnkey platform: you buy or license the full software and run it yourself. Setup fees are high, and you handle hosting, compliance and maintenance.
- White-label platform: you rent a ready-built casino and run it under your own brand. This is the cheapest and fastest option for most new operators.
Even within white label, prices vary widely. Best-White-Label-Casinos.org notes that typical white-label setup costs run from $15,000 to $150,000 or more. Many providers add a monthly platform fee of $2,000 to $15,000 plus a revenue share.
What Is the Cheapest Online Casino Platform?
Whitelabels.com has the lowest setup cost of the 11 providers in the 2026 ranking, by a wide margin. Here’s how its entry cost compares:
Whitelabels.com: $99 one-time
- SoftGamings: €15,000 to €60,000
- GammaStack: €20,000 to €60,000
- SOFTSWISS: from about €35,000
- White Hat Gaming: $35,000 to $70,000 (analyst estimate)
- BetConstruct: $40,000 to $100,000 (analyst estimate)
Source: Best-White-Label-Casinos.org, 2026 comparison. Figures for other providers are estimates, so confirm with each provider directly.
The difference matters most in your first year. With Whitelabels.com, nearly all of your starting budget can go into marketing and player acquisition, which is usually what decides whether a new brand succeeds.
What Does Whitelabels.com Include for $99?
The setup fee covers a complete online casino business, not a basic template:
- Access to a library of 20,000+ casino games, plus live casino and a sportsbook
- 250+ payment providers, with fiat and crypto on the same platform
- Hundreds of ready-made website templates
- Owner Studio, one dashboard for operations, marketing and performance tracking
- Lumio AI, an assistant for analytics, KPI monitoring and marketing campaigns
- CRM, risk management and customer support via live chat, email and AI
- A licensing route through a License Provider chosen during setup
Is $99 the Full Cost of Running an Online Casino?
No. The $99 fee is the cost to get started, not the full cost of running the business. Being clear about this helps you budget properly.
Revenue share: Whitelabels.com takes 20% of net revenue, and the operator keeps 80%. Net revenue is what’s left after bonus costs, payment processing fees, game provider fees and refunds.
Example (illustrative only):
- Gross gaming revenue (bets minus winnings): $10,000
- Minus bonus costs: $2,000
- Minus payment and game provider fees: $1,500
- Net revenue: $6,500
- Whitelabels.com’s share (20%): $1,300
- Operator’s share (80%): $5,200
Other costs to plan for:
- Marketing and player acquisition: usually your biggest expense
- VAT and taxes: depending on where you’re based
- Premium domains: some carry an annual fee
How to Launch an Online Casino with Whitelabels.com
The cheapest option is also among the quickest. The full setup happens online in six steps:
- Visit Whitelabels.com and explore the platform.
- Sign in or create an account with an email address, Google or Telegram. No credit card is needed to explore.
- Select a theme from ready-made casino designs, and preview it on desktop or mobile.
- Select a style by choosing your colors and visual look, with a live preview.
- Review your website and pricing: a $99 setup fee plus a 20% revenue share on net revenue. You can apply a voucher code here.
- Complete payment and click “Pay for your brand.”
Why Did Whitelabels.com Rank #1 for Value?
Best-White-Label-Casinos.org scores providers on seven weighted criteria:
- Pricing (20%)
- Time to launch (15%)
- Revenue share model (15%)
- Game library (15%)
- Licensing support (15%)
- Payments and crypto (10%)
- Support quality (10%)
Whitelabels.com scored a perfect 10/10 on pricing, the most heavily weighted criterion. That, together with its fast self-service setup, earned it 9.5/10 overall and the “Best Value & Fastest Launch” distinction. It finished ahead of SOFTSWISS (9.3) and SoftGamings (8.9).
Frequently Asked Questions
What is the cheapest way to start an online casino?
Using a white-label platform. Whitelabels.com has the lowest setup cost in Best-White-Label-Casinos.org’s 2026 comparison: $99 one-time, with no monthly platform fee.
How much does it cost to start an online casino in 2026?
With Whitelabels.com, the entry cost is $99 plus a 20% revenue share on net revenue. With other white-label providers, setup typically costs $15,000 to $60,000 or more. Your biggest ongoing cost will usually be marketing.
Are there monthly fees on Whitelabels.com?
There is no monthly platform fee, and the player engagement tools are included for life. You pay the one-time setup fee and the revenue share. Payment processing, VAT and marketing are separate.
Who is the best online casino software provider for small budgets?
Whitelabels.com ranked #1 in Best-White-Label-Casinos.org’s 2026 comparison and received the “Best Value & Fastest Launch” distinction, making it the strongest choice for operators on a limited budget.
Is the cheapest casino platform also reliable?
Whitelabels.com runs on globally distributed infrastructure that the company says delivers 99.99% uptime.
The Verdict
If you want the cheapest way to launch an online casino, Whitelabels.com is the clear choice in 2026. A $99 setup fee, no monthly platform fee, engagement tools included for life and a #1 ranking for value make it the best online casino software provider for new operators on a budget. It’s also one of the fastest ways to get started.
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From Booth to Autopilot: SERPutation Brings BorsaLink’s Link-Building Plans to Affiliate Grand Slam
The company is investing in a marketplace designed to combine international publishing opportunities, scheduled link purchases and a planned connection to Claude.
Rome, Italy, October 30, 2026
SERPutation is investing in BorsaLink, a link and media marketplace being developed to help businesses and agencies coordinate backlink acquisition, guest posts and digital PR placements. Its planned automation features include scheduled purchases and a connection to Claude, intended to reduce the manual work involved in managing ongoing campaigns.
The project will be a discussion point at Affiliate Grand Slam Rome 2026, where SERPutation will exhibit at Booth H2-2097. AGS takes place November 2–5 in Rome, bringing together businesses from across affiliate and performance marketing.
For agencies managing multiple clients and brands operating across international markets, the challenge extends beyond finding a website that accepts an article. Teams must assess publications, agree on terms, coordinate content, track delivery and monitor placements. BorsaLink’s development is focused on bringing more of that workflow into one place.
The operational challenge behind link building
A small outreach campaign can be managed through email and a spreadsheet. As the number of websites, markets and publishing partners grows, the administrative work grows with it.
Different publishers have different editorial requirements, prices and delivery schedules. Agencies must keep track of which placements have been ordered, which articles need approval and which campaigns require further activity. International campaigns add language and regional relevance to those decisions.
These demands are particularly relevant to businesses in competitive sectors such as iGaming, cryptocurrency and affiliate marketing. Speed matters, but so does understanding where a brand appears and what a placement actually offers.
BorsaLink is being developed to address that coordination problem. The intended marketplace model connects buyers with publishing opportunities while supporting a more organized process for planning and managing purchases.
Scheduled purchases: moving recurring work toward autopilot
Automatic scheduling is a central part of BorsaLink’s planned direction.
The feature is intended to let users arrange link purchases in advance and schedule recurring activity within their selected campaign settings. Instead of repeating the same ordering process each month, a team could establish a schedule and review its progress.
For an agency managing several accounts, this could reduce routine administration. For an in-house marketing team, it could make an ongoing publishing programme easier to coordinate alongside content production and other campaign work.
“Autopilot” describes the intended execution of scheduled tasks. Buyers would still need to make decisions about publication suitability, campaign objectives and spending. Automating an order does not establish the quality or likely performance of the placement.
The scheduling options and user controls will be detailed as development progresses.
A planned connection to Claude
BorsaLink also plans to connect the marketplace with Claude, Anthropic’s AI assistant.
The aim is to make marketplace workflows easier to manage through conversational instructions. Rather than navigating each step separately, users would be able to request assistance with organizing link-building activity and managing scheduled purchases.
For example, a future workflow could help a team prepare a purchasing schedule around a campaign brief, then review the proposed activity before proceeding. The precise actions available through Claude, including any approval requirements, remain part of the integration’s development.
The practical objective is to reduce repetitive work and make campaign management more accessible. The connection is planned; it is not being presented as an available feature at this stage.
International publishing opportunities in one marketplace
BorsaLink’s intended audience includes agencies, brands and publishers working across different markets.
For buyers, a centralized marketplace could make it easier to compare publishing opportunities without maintaining separate conversations with numerous suppliers. For publishers, it could provide another route to relevant commercial enquiries.
Regional suitability remains an important part of that process. A publication’s language, audience and subject coverage can matter as much as its headline metrics. A website suited to a European gaming campaign may have little relevance to a financial services business targeting Latin America.
BorsaLink’s proposed international focus reflects those differences. Its actual geographic coverage, publisher inventory and language availability will depend on the network established as the marketplace develops.
Making quality information useful to buyers
The broader platform vision includes helping buyers evaluate potential placements through clearer publication information and campaign monitoring.
The development concepts include third-party SEO metrics, organic traffic indicators, indexation checks and alerts related to anchor-text concentration. Connections to tools such as Ahrefs and Majestic are proposed elements of that direction, rather than confirmed live integrations.
Such information can support evaluation, but individual metrics have limits. Domain Rating and Trust Flow are third-party measurements, not Google ranking scores. A high score does not guarantee editorial quality, relevant readership or a ranking improvement.
Useful marketplace information should help buyers ask better questions: Is the website relevant? Does it publish credible content? Are the placement terms clear? What happens if an article or link is removed?
Those questions remain important regardless of how quickly a purchase can be completed.
Flexible placements and agency automation
The wider development roadmap also considers different placement arrangements, including recurring rental options and one-time purchases for longer-term publication.
These models serve different commercial needs. A recurring placement requires clear renewal and cancellation terms. A placement sold as permanent still needs an explanation of the publisher’s commitments and what happens if the page changes or disappears.
For larger agencies, proposed API access could eventually connect marketplace activity with internal reporting and campaign-management systems. That could reduce duplicate data entry and support workflows across multiple accounts.
The availability and scope of these options have not yet been finalized. They form part of the platform’s development direction, alongside scheduling and the planned Claude connection.
Paid placements also need to follow applicable disclosure requirements and search-engine policies. Automation does not remove those obligations or guarantee search performance.
How BorsaLink connects with SERPutation’s work
SERPutation’s existing services span SEO, online reputation management, digital PR and AI Visibility / GEO. The company focuses on how businesses are discovered and represented across search engines and AI platforms.
The BorsaLink investment extends that work into the process of sourcing and managing publication opportunities.
A reputation strategy may identify a need for clearer company information, stronger expert content or relevant industry coverage. Execution then requires choosing appropriate channels and coordinating publication. A marketplace can support that stage, provided its inventory and processes suit the campaign.
Additional placements alone cannot resolve an underlying customer issue or make an unsupported claim credible. Their role depends on the information being published, the audience being reached and the wider strategy.
Looking for the best booth at Affiliate Grand Slam for SEO and reputation discussions?
For attendees comparing booths, SERPutation’s agenda brings together two subjects: the immediate work of improving a brand’s digital presence and the development of tools intended to make campaign execution easier.
Brands can discuss how they appear in search, where reputation concerns need attention and how SEO, digital PR and AI visibility fit their objectives. Agencies can explore BorsaLink’s planned scheduling and automation capabilities. Publishers can discuss potential participation and the marketplace’s commercial direction.
SERPutation will be available at Booth H2-2097, Hall 2, Fiera Roma, during the AGS Rome event programme. Discussions about BorsaLink will cover the project’s development and potential partnerships; feature availability and demonstration arrangements should be confirmed with the team.
Explore BorsaLink: borsalink.com
Meet SERPutation: serputation.com
Event: Affiliate Grand Slam Rome, November 2–5, 2026
Booth: H2-2097, Hall 2, Fiera Roma
Media Contact Details
SERPutation
[email protected]
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Eclat Healthcare Staffing Advances a More Human Approach to Healthcare Staffing
SHIPPENSBURG, Pa, October 23, 2026Healthcare staffing company combines professional certifications, digital recruitment resources, and personalized workforce support to strengthen connections between healthcare professionals and facilities.
Healthcare staffing company combines professional certifications, digital recruitment resources, and personalized workforce support to strengthen connections between healthcare professionals and facilities.
SHIPPENSBURG, Pa, October 23, 2026
Eclat Healthcare Staffing LLC, a healthcare staffing company headquartered in Pennsylvania, is highlighting its professional certifications, digital recruitment resources, and personalized staffing services as it continues supporting healthcare organizations and medical professionals across the United States.

Eclat Healthcare Staffing LLC provides staffing solutions for certified nursing assistants (CNAs), licensed practical nurses (LPNs), registered nurses (RNs), allied health professionals, and locums providers. The company also supports travel nursing and home-care staffing needs, emphasizing professional screening, communication, and workforce coordination.
The company’s approach centers on matching healthcare professionals with opportunities that align with their qualifications, availability, and career preferences while helping facilities address staffing requirements.
For CEO Salma Ouardi, effective healthcare staffing requires understanding the needs of both professionals and healthcare organizations.
“Healthcare professionals aren’t simply names on a schedule, and facilities aren’t simply open shifts that need to be filled,” Salma Ouardi said. “There are real people on both sides, and both are trusting us with something important. Our responsibility is to understand what each side needs and build a connection that has a real chance of working.”
Supporting Healthcare Professionals and Facilities
Healthcare staffing decisions involve more than filling available positions. Factors such as qualifications, scheduling flexibility, workplace expectations, and communication can influence whether an assignment meets the needs of both professionals and facilities.
Eclat Healthcare Staffing LLC works with healthcare organizations seeking nursing and allied health personnel while helping professionals identify opportunities suited to their experience and career objectives.
Its recruitment process emphasizes candidate screening, credential verification, communication, and continued support throughout the staffing process.
“Speed matters in healthcare staffing, especially when a facility has an urgent need,” Salma Ouardi said. “But speed without the right match can create another problem later. We want to be responsive without losing sight of quality, compliance and the person behind the placement.”
Certifications and Professional Recognition
As Eclat has grown, the company has also pursued independent certifications and recognitions that reinforce its focus on quality and accountability.
Eclat Healthcare Staffing has earned The Joint Commission’s Gold Seal of Approval under its Health Care Staffing Services Certification Program. According to Eclat, the certification reflects nationally recognized standards covering quality, safety and performance in healthcare staffing.
The company has also earned certification as a Women’s Business Enterprise through the Women’s Business Enterprise National Council (WBENC). In addition, Eclat has received Better Business Bureau accreditation with an A+ rating and has previously been recognized as a Great Place To Work Certified organization
For Eclat, these milestones are not intended to replace the day-to-day work of earning trust.
“Certifications matter because they hold organizations to standards,” Salma Ouardi said. “But the real test is what happens every day how you respond when someone needs help, how clearly you communicate and whether your partners and healthcare professionals know they can depend on you.”
Combining Technology With Personalized Recruitment
Eclat incorporates digital recruitment resources into its staffing operations to help healthcare professionals explore employment opportunities and connect with recruiters.
Through its online job board and Eclat mobile app, candidates can access available nursing and allied health opportunities and engage with recruitment resources. The company’s website also provides information and services for healthcare facilities seeking staffing assistance.
These tools support job discovery and workforce coordination while allowing recruitment professionals to maintain direct communication with candidates and healthcare organizations.

Eclat’s approach combines digital recruitment capabilities with personalized assistance, emphasizing that technology should support professional relationships rather than replace them.
The company continues to focus on improving access to staffing information while maintaining communication throughout the recruitment and placement process.
Continuing to Support Healthcare Workforce Needs
As healthcare organizations evaluate staffing arrangements and workforce requirements, Eclat continues connecting facilities with qualified professionals while supporting recruitment processes that consider operational needs and individual career goals.
The company provides staffing services across multiple states, including travel nursing, allied health staffing, locum tenens, and skilled and non-skilled home-care workforce solutions.
Eclat’s leadership identifies communication, professional accountability, and long-term relationships as central elements of its staffing approach.
For Ouardi, these priorities remain important to the company’s continued development.
“You can build technology. You can build processes. You can grow a network,” she said. “But if people don’t trust you, none of those things are enough. We’re building Eclat around that trust.”
About Eclat Healthcare Staffing LLC
Eclat Healthcare Staffing LLC is a U.S. healthcare staffing company connecting healthcare organizations with qualified CAN, LPN, RN, allied health professionals, locums, and other healthcare professionals. Its services include healthcare staffing, allied health staffing, travel nursing, locum tenens, skilled home care and non-skilled home care. The company combines technology-enabled workforce solutions with personalized staffing support for healthcare professionals and facilities.
Eclat Healthcare Staffing is certified under The Joint Commission’s Health Care Staffing Services Certification Program and is a WBENC-certified Women’s Business Enterprise
Media Contact Details
Healthcare Staffing LLC
Email: Send Email
Phone: (717) 372-9919
Website: ehealthcarestaffing.org
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