What we do
The sexy AI labs runs on demo culture. A polished prototype, a launch tweet and then the accountability conversation never happens. “Move fast and break things” is a defensible philosophy until the thing that breaks turns out to be your compliance posture, or the trust of your customers.
We build the other kind. NCC-1701 is a research lab that operates at the frontier of unsexy AI. We research and build new AI models to power enterprise AI that has to be reliable, explainable, governed, and ready for the conditions that actually exist in large organizations with regulatory scrutiny and operational complexity. Predictability is a feature here, and control is a requirement.
Connect with us:
our AI FACTORY APPROACH
Analysis of 177 enterprise agentic AI deployments reveals that ad-hoc, project-based deployment models suffer from high failure rates (69%), extended time-to-value, and unsustainable governance overhead. The Agentification Factory model replaces this with a systematic and repeatable production pipeline — achieving a 65% success rate, 40–60% faster time-to-value, and a verified net ROI of 21% through the compounding ROI Flywheel effect.
We created a structured method for assessing automation potential and setting agentification targets that reflect what AI can actually deliver today. That means working with the real limitations of current AI, not vendor benchmarks.
In this whitepaper, we explore eight agentic governance models, providing a compre‐
hensive comparison across critical dimensions such as scalability, operational cost, auditability, and suitability for regulated environments.
By treating agent deployment as a continuous
production pipeline rather than a series of discrete projects, the factory model dramatically reduces the marginal cost and risk of each new deployment.
our research
We conduct fundamental research into agentic AI at enterprise scale. We analyse success stories, create frameworks that hold up under pressure, and we build AI-models for enterprise AI that holds up under scrutiny. Our research is published in journals and preprint servers for the community to use.
We created a structured method for assessing automation potential and setting agentification targets that reflect what AI can actually deliver today. That means working with the real limitations of current AI, not vendor benchmarks.
The OCG framework connects operating cadence, governance discipline, and delivery execution into a single enterprise model. Built for organizations that need clear AI ownership, decision velocity, and real delivery rhythm rather than accountability structures that exist only in org charts.
Most AI programs measure activity. We measure value. The Roundtrip Value model links investment, adoption, operations, and business outcomes into one closed loop, making visible where value is created, where it leaks, and what is actually worth scaling.
EIGENVECTOR BLOGS
Welcome to the strategy workshop My dear enterprise AI friends. I think you all would recognize the exact model of windowless conference space that was named after some mountain that no person present in the meeting you’re at has ever climbed. There are twelve executives, four suited up consultants with big watches, two architects wearing…
I’ve spent the last few posts raining fire and brimstone down upon Large Language Models. A few readers took that as a declaration of war against the LLM, but nah, it wasn’t. It was actually an intervention. I admire the darn thing too much for that. The simplest reason being the fact that prior to…
books
ENTERPRISE AI GOVERNANCE
The definitive CMM-style reference for governing non-deterministic, agentic, and autonomous AI systems in the large enterprise. Grounded in NIST AI RMF, ISO 42001, and the EU AI Act.
GOVERNANCE CMM
AGENTIC ECONOMICS
The complete guide to autonomous agent deployment, value measurement and economic governance of your AI program. You will learn how to design, build, operate, and measure the economic value of enterprise autonomous agent
systems from first principles to full-scale deployment.
AGENTIC ECONOMICS
THE ATLAS BOOK OF KNOWLEDGE
The definitive body of knowledge for designing, securing, evaluating, and governing multi-step AI systems. A practical reference for building agentic workflows that remain reliable beyond the first impressive demo.
DOWNLOAD THE ATLAS BOOK OF KNOWLEDGE
Start a conversation
Schedule a free consultation focused on opportunities, risks, readiness, and reliable routes to value
NCC-1701 