Blog

We challenged top language models to create NCAA brackets, revealing key lessons on AI usability, safety guardrails, creativity, and why style guides matter for clear, useful outputs.

Explore how small language models (SLMs) outperform LLMs for enterprise AI. Faster, cheaper, and better for specific AI solutions.

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.

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.

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.

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

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

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

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

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.

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.

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.

Learn how synthetic data powered by LLMs helps businesses train smarter AI models for fraud detection, forecasting, and customer experience at scale.

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.

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.

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

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

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.

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.

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.

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

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.

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

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.

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.

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

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

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

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.

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.

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

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

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

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.

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

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.

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

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

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