Press blogs | Invisible technologies

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AI, from A to B

Invisible Technologies honored as Business Services category winner in the 2025 Artificial Intelligence Excellence Awards

The award celebrates those who lead the way in AI innovation, winners are selected by industry experts based on their measurable success in AI-driven solutions.

Invisible Technologies appoints McKinsey AI leader as Chief Executive Officer

Matthew Fitzpatrick to lead next phase of growth for fast-growing AI training and operations company as enterprise customer adoption scales from POC to production.

Invisible Technologies ranked 61st fastest-growing company in North America on the 2024 Deloitte Technology Fast 500™

Our unique AI-human model drives innovation and enterprise-scale results drove 2,342% of growth.

Invisible launches global public sector operations

Invisible enters the public sector with Wes Green at the helm. Learn how we’re bringing AI-powered efficiency and innovation to government operations.

Invisible Technologies ranks #2 in artificial intelligence and #152 overall on the 2024 Inc. 5000

Invisible is reshaping operations and driving results at the intersection of AI and human talent.

Invisible Technologies unveiled: a fireside chat at Abundance360

Discover how Invisible uses AI and human expertise to transform business operations—insights from our fireside chat at the 2024 Abundance360 Summit.

Invisible Technologies named official breakthrough partner for Abundance Summit 2024

The operations innovation company that combines AI and automation with a skilled human workforce, is pleased to announce that they will present as “Breakthrough Partner 2024” at the Abundance Summit, held March 17 -21, 2024.

Small language models vs. large language models

What are small language models and how do they compare to large language models? SLMs are faster, more affordable, and better for specific AI solutions.

How leading AI teams use synthetic data generation for training their models

Learn how synthetic data generation can save time and costs while improving your AI model, and discover the cost of using synthetic data without a strategy.

Supervised fine-tuning vs. RLHF: How to choose the right approach to train your LLM

Learn when to use supervised fine-tuning or RLHF to adapt LLMs for real-world use. Discover key trade-offs, use cases, and data prep best practices.

Why your LLM is misbehaving: common causes of AI failure

Invisible’s expert data strategy team reveals why many AI models fail—from flawed training data to synthetic overload—and how targeted human datasets fix these costly gaps.

AI Mullet: SLMs as the Business in the Front, LLMs as the Party in the Back

Learn how public sector agencies can employ LLMs and SLMs together to tackle complex challenges as well as every-day, mission-critical tasks.

Invisible culture

Inside Invisible: A culture built on ownership, growth, performance, and autonomy

Some workplaces promise comfort. Invisible offers something different: a challenge worth taking in the exciting frontier of AI technology.

How to build an enterprise agentic AI strategy that actually delivers ROI

Explore potential enterprise AI agent solutions and learn how leaders can build an effective and adaptable strategy for agentic AI.

3 steps to establishing better goals & success criteria for your AI projects

Explore how AI and innovation leaders can prevent these failure scenarios by establishing clear success criteria supported by data and research.

Invisible Technologies appoints McKinsey AI leader as Chief Executive Officer

Matthew Fitzpatrick to lead next phase of growth for fast-growing AI training and operations company as enterprise customer adoption scales from POC to production.

How to avoid the AI death trap and unlock real value in 2025

In 2025, it’s clear that business leaders need to reassess their approach to adopting AI from first principles. Otherwise, they risk falling into the AI Death Trap.

Invisible culture

Inside Invisible: how our engineering team is building the future, one challenge at a time

Our Engineering team lies at the heart of our mission to revolutionize operational efficiency for clients and is driven by an insatiable curiosity and a shared determination to tackle intricate problems.

The ultimate guide to enterprise AI model evaluation

Unlock the secrets to successful enterprise AI deployment with a holistic model evaluation strategy that goes beyond metrics—boost performance, safety, and user adoption.

How synthetic data is revolutionizing businesses

It's crucial to understand the benefits and risks of using synthetic data; experts at Invisible have produced a series on synthetic data to share these insights.

Five sectors already changed by AI (and how it will transform them further)

AI is no longer something that will simply change the future; it is changing the here and now. Explore five sectors that have already been transformed by AI and what lies ahead.

Revolutionizing business decision-making: the impact of RAG

RAG supercharges LLMs with real-time data, making AI more accurate, secure, and useful for high-stakes industries like law, finance, and professional services.

Re-engineering the enterprise: how seismic changes are shaping the business of tomorrow

Invisible’s Ben Plummer outlines how AI, global talent shifts, and capital pressure are forcing businesses to re-engineer operations... or risk becoming irrelevant.

How AI will unleash a new wave of competition

AI is reshaping industries and work itself. To stay ahead, businesses must understand what sets them apart, from today’s rivals and tomorrow’s disruptors.

How to prevent AI errors

The risk of ignoring AI is far higher than the risk of getting something wrong, and it is possible to implement AI into a business in a controlled and systemic way.

Why AI will be a collaborator, not a competitor

AI won’t destroy jobs but reshape work, creating new roles in AI development, hybrid human-AI jobs, and entirely new fields—unlocking growth and productivity for the future.

Where enterprises lose momentum with AI deployment

Unlock the secrets to overcoming enterprise AI deployment challenges. Discover why human expertise and strategic partners are key to AI success.

What most enterprises get wrong about AI

Enterprise AI demands a new approach beyond off-the-shelf tools. Learn why acting fast, incremental steps, and human-AI collaboration are key to thriving in an AI-driven future.

Overcoming the AI talent scarcity problem requires a new approach for enterprises

Struggling to scale AI in your enterprise? Learn why most strategies fall short—and how a human-AI partnership can drive ROI without bloating headcount.

One LLM alone can’t solve enterprise business problems

One LLM isn’t enough. Learn how orchestrating multiple models with humans in the loop is the key to solving real enterprise-scale challenges.

How to train helpful, honest, and harmless AI

Learn how to implement a helpful, honest, and harmless model that meets standards through human-generated data in order to meet the needs of users and enterprises.

Invisible culture

Inside Invisible: A culture built on ownership, growth, performance, and autonomy

Some workplaces promise comfort. Invisible offers something different: a challenge worth taking in the exciting frontier of AI technology.

Invisible culture

Inside Invisible: how our engineering team is building the future, one challenge at a time

Our Engineering team lies at the heart of our mission to revolutionize operational efficiency for clients and is driven by an insatiable curiosity and a shared determination to tackle intricate problems.

Invisible culture

Inside Invisible: how Invisible’s product team is transforming tech-enabled operations for the future

Invisible's Head of Product, Apurva Garware, has a mission: build a platform to empower organizations to redefine efficiency in a rapidly changing world.

The top 3 recruiting challenges multi-unit retailers face—and how to tackle them

Struggling to hire fast and well in retail? Learn how AI and smarter processes help multi-unit retailers boost speed, quality, and consistency—without tradeoffs.

Product feed optimization: the key to improving search engine discoverability for retailers

Struggling with product discoverability? Learn how optimizing your product feed with AI and human QA can boost visibility, search ranking, and sales.

How to optimize your restaurant chain in the age of AI

Through careful implementation of AI, food and beverage-based businesses can substantially improve their bottom line and achieve greater profitability.

How AI will continue to transform logistics

Logistics firms should take a cue from Amazon and DoorDash—AI is transforming everything from product recommendations to last-mile delivery.

How to unlock AI's potential in high growth marketplaces

AI has the power to transform digital platforms, allowing them to scale more efficiently than ever before, but unlocking AI's potential is impossible without humans in the loop.

How AI can help marketplaces innovate and scale fast

Digital marketplaces face constant change—shifting consumer trends, disruptive tech, and fast-moving rivals make adaptability key to survival.

Can AI help save America’s healthcare crisis?

The U.S. healthcare system faces a labor crisis—burnout is rising, and care is slipping. AI could be the force multiplier that helps reverse the trend.

How big data and AI will combine to transform healthcare

Data fuels the AI revolution—and in healthcare, untapped data means massive potential for disruption, says Invisible’s GM of Healthcare, Rishi Madhok MD.

Financial services

How to unlock the hidden knowledge in your enterprise

RAG helps enterprises unlock hidden knowledge from unstructured data—speeding decisions, breaking silos, and transforming due diligence workflows.

Financial services

How AI will turn the back office into a strategic driver for FinServ

When people think of AI, they imagine a distant future. But in financial services, its real (and transformative) impact is already unfolding.

Financial services

Why most financial services businesses won’t maximize AI without outside help

Financial services are embracing AI but struggle without strategy and infrastructure. Discover how FinServ can become truly AI-first and thrive in a fast-changing landscape.