The operating model
Frontier AI meets enterprise
Engineered against your data, your controls and your systems, then handed over — no parallel stack, no dependency on us to keep it running.
Most enterprise AI never reaches production
The closed loop
Enterprise AI lives where two worlds meet. The labs are pushing the frontier, building ever smarter and faster models. The enterprises are focused on value delivery, for customers, employees and partners. But bringing them together is a discipline of its own.
This discipline has its own demands: aligning data across the systems the business runs on, building AI into the way work actually gets done, and making agentic, probabilistic systems consistent enough to trust.
That’s where most initiatives stall: too applied for the lab to carry, too new for the enterprise to take on alone.
That’s the discipline Cognida has made its own turning AI into production value.
We work as an AI design partner, embedded on both sides of that discipline building with the labs and delivering inside the enterprise. We stay with the work until it’s delivering value in the real world.
One team, accountable end-to-end across AI, applications, data, and integration. The labs get better models, faster; the enterprise gets AI it can run on. We call that operating model FDE+.
WE STAND IN THE GAP
Partnering with the teams pushing AI forward
For AI Builders
Better models, faster
We build the substrate around your training run environments, reward models, evals, red-team, and the failure data only real deployments produce. You push the frontier. We build everything around it.
- Post-training across SFT, DPO, RLHF / RLAIF
- RL environments and reward models built to your task
- Eval CI and contamination audits that catch what benchmarks miss
- Production failures fed straight into your next training cycle
For ENTERPRISES
AI that holds up in production
We build AI that fits how your business actually runs wired into your data and workflows, dependable in production, and delivering value you can measure. We stay through operations, keeping it reliable as the things change.
- Strategy and architecture grounded in real use cases
- Fine-tuning that adapts frontier models to your domain
- Eval practices that prove what works before it ships
- Agents, copilots, and workflow apps built around your teams
- A governed data foundation, monitored in production
The Stack
One team.
Embedded in your business.
Every engagement is built around three things: embedded leaders who shape the work to your situation, expert engineers for every layer, and a platform that saves months. One team, accountable end to end.
Every engagement gets the same three things: leaders who sit inside your org, engineers who can build across the whole stack, and a platform that makes them faster. No vendor handshakes. No slide-to-build handoff. One number to call.
Embedded leadership
Strategists and principal architects who work from inside your org. They shape the work to your situation.
Cross-functional engineering
ML, data, application, and platform engineers on one team. The full stack the problem needs.
Zunō accelerator platform
Pre-built evaluation, governance, and deployment substrate. Months of work, already done.
The work, in the field.
Every engagement gets the same three things: leaders who sit inside your org, engineers who can build across the whole stack, and a platform that makes them faster. No vendor handshakes. No slide-to-build handoff. One number to call.
Ai Transformation
Customer acquisition to shipment: AI across a leading garage door manufacturer
A multi-year partnership: strategy and roadmap first, then years of shipping into daily operations.
AI now runs inside the workflows the business depends on how customers choose, how doors are built and inspected, how work is bid and priced.
Operational Efficiency
An AI-first content platform for a global research leader
A firm-wide program spanning every line of business and their workflows, from ideation and assembly through review, packaging, and dissemination.
Content is the firm's product. The platform moves it to market faster, holds the bar at every step, and keeps analyst judgment at the center.
Revenue Growth
A health benefits leader, turning decades of expertise into AI products
We run the firm's AI transformation, a growing line of products built on its own legal and consulting knowledge: regulatory guidance, plan drafting, contract review.
Clients now get compliance answers around the clock, and plan documents that took days to draft arrive in a fraction of the time to a single standard, every time.
Revenue Growth
A governance software leader that sees churn coming
RevX, deployed on the firm's own data to answer the retention question first: which customers will leave, and in time to act.
One decision earned the next. The engagement now reaches across the revenue lifecycle, on the foundation the first deployment built.
Ai Transformation
An AI operating system for a global aviation leader
An agent-native system on an enterprise context graph - specialized agents do the analysis, people across the organization direct them, and every answer shows its work.
Decisions live in the system with their reasoning and outcomes attached. Questions that once took five-team data projects come back in minutes.
Operational Efficiency
Automating the operations that run a global semiconductor leader
A growing set of use cases across business functions, each taking a workflow that ran on manual handoffs and moving it into production.
Orders, approvals and reviews that moved by inbox and spreadsheet now move on their own. People handle the exceptions and the judgment.
Our partners
