High Assurance
With Recognitive — You harness the intelligence and speed of LLMs for software development without the catastrophic risks. Changes are formally verified for compatibility with your critical architectural rules, security policies, and compliance mandates. In short, intelligence is always collaborative.
Unprecedented Agility
With Recognitive — Your software becomes an active, reasoning member of your team. The collaboration of your people, your engineers, your LLMs, and your software, transforms your ability to act on market opportunities and threats. What took months, now takes days.
Purposeful Creativity
With Recognitive — Your LLMs are unleashed to be the creative, generative engines they're designed to be. You can trust their innovative contributions because Recognitive brings the world models and provides the automated governance and formal verification they inherently lack.
Exponential Shift
With Recognitive — The boundaries of the enterprise dissolve. Your software + LLMs interact with the software + LLMs of your suppliers, partners, and customers, enabling a new era of responsive, robust, inter-organizational collaboration built on verifiably meaningful exchange.
The Challenge
AI-augmented software engineering isn't working
LLMs promise a revolutionary leap in the velocity of software development, but the promise remains largely beyond reach, all the more so for organizations operating in high-assurance environments.
The non-deterministic nature of generative AI, its lack of understanding of architectural integrity, and its inability to form and maintain a world model of the enterprise and its software, make it unsafe.
LLMs produce technical debt and violations of the system's fundamental architectural invariants, governance policies, security policies, and resource constraints at unprecedented rates. Despite claims of 2x, 5x, and even 10x productivity gains, it appears engineering productivity actually declines.
The Opportunity
Well-governed, rapid, and agile software engineering
Software engineers and non-technical stakeholders in high-performing organizations know their stuff, and the LLM(s) will have been selected as best-in-class. That leaves the question — how should we approach the design and development of software in the LLM age?
The Recognitive platform creates a powerful neurosymbolic system in which an LLM is no longer an untrusted external tool but an integrated creative partner. Built-in rather than bolted-on. Direct rather than intermediated. A simplification, not a complication. Intelligent.
The Outcome
speed and agility with verifiable assurance
Organizations that build on the Recognitive platform don’t just accelerate, they move to a new state of competitive agility.
Formal verification eliminates the risk of security flaws and performance bottlenecks. Development cycles shrink. Compliance is transformed from a development bottleneck into a competitive advantage. You have a robust, responsive, and intelligent system that learns from its own modifications, becoming more agile and intelligent as it evolves.
Recognitive is the enabling technology for true enterprise AI.
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Join us
Our core technology — the brainchild of one of our co-founders — is already enterprise-proven in adjacent contexts in Global Fortune 500 companies. If our purpose and vision here excites you in whatever capacity and in whatever context, please email more.info@unnamedlabs.com.
Note: We're not currently hiring. We have a tight team in start-up mode. This will change of course with future investment, so please subscribe to our newsletter below.