Teams with a roadmap outrunning capacity
Add senior throughput fast, without a long hiring cycle.
Managed product teams
Managed product teams — your team, upgraded with Cortex.
Forward-deployed engineers who plug into how you already work and bring the same discipline we run on every build: plan before code, validate against a definition of done, and keep the work visible. Added capacity without added chaos.
More capacity shouldn't mean less control.
The usual way to add engineering capacity — a staffing shop, a pile of contractors — buys you hours but costs you control, quality, and visibility. You end up managing more and trusting less.
A managed product team is different: forward-deployed engineers who take ownership, plug into your process, and run on Cortex — so you get throughput and the same planning, validation, and audit trail we apply to everything we ship.
What we build.
Embedded product teams
Forward-deployed engineers who work as part of your team, not a black box.
Capacity on demand
Add throughput for a roadmap that's outrunning your team.
Full product ownership
A team that can own a product area end to end.
Cortex-run delivery
Plan, validate, review, and audit-trail on every engagement.
Cross-functional squads
Design, engineering, and delivery in one accountable unit.
Flexible engagement models
Scale the team up or down as your roadmap changes.
The team changes with the mission.
A modern product team should be assembled around the outcome, not a fixed staffing template.
A CognitiveClouds team may combine:
- Forward Deployed Engineer
- Forward Deployed AI Engineer
- Full-Stack Engineer
- Frontend Engineer
- AI Engineer
- Data Engineer
- AI Research Engineer
- Product Manager
- Product Designer
- Product Security Engineer
- Platform Engineer
- QA & Automation Engineer
You don't get developers who happen to use AI.
You get a product engineering team assembled around the problem, with Cortex providing the planning, validation, visibility, and accountability underneath the work.
The goal is leverage, not headcount.
You're not buying hours — you're buying outcomes shipped with the same controls you'd want from your own best team.
Ship your roadmap faster
Add senior throughput without a long hiring cycle.
Keep control and visibility
Work stays planned, reviewed, and visible — not a black box.
Get quality, not just hours
Forward-deployed engineers and enforced discipline, not staffed seats.
Scale with the roadmap
Flex the team up or down as priorities shift.
Fast doesn't have to mean unpredictable.
The reason software runs late and over budget is rarely the code — it's the chaos around it. We plan before we build, run the work as Missions you can watch, validate every change against an explicit definition of done, and review it before it ships. You get the speed of AI with the discipline that keeps software maintainable for years.
Proven on software companies actually depend on.
14 years building production software for
Proof — Verizon Media
5,000+
Verizon Media users
We built and delivered Verizon Media's first iOS app for its Ad Platform — now used by more than 5,000 employees and advertising customers.
Verizon Media's advertisers and account managers needed to run and preview campaigns without being tied to a desk. Working as an extension of their team, we designed and built their first iOS Ad Platform app — now used by more than 5,000 Verizon Media employees and advertising customers, with the ability to preview mobile creative on the device that advertisers value most.
A 14-year playbook, enforced by software.
Across more than 200 products, the difference between projects that ship clean and projects that spiral came down to a few disciplines. We turned them into how Cortex runs every build — so they happen every time, not just when someone remembers.
Plan in Missions
Every build starts as a plan a human approves — scope, definition of done, and boundaries — before a line of code is written.
Trace every commit
Each change is tied back to the plan it came from, so you can always see what was built, why, and by whom.
Test the contract
Work is validated against an explicit definition of done, not a demo — proven correct before it ever ships.
From COBOL to serverless.
We build on a modern stack and we read the old one before we replace it. Over a decade across enterprises means we're as comfortable in a legacy monolith as we are on the edge.
Modern stack
- React & TypeScript
- Node.js, Python & Go
- Serverless & edge
- Cloud-native (AWS / GCP / Azure)
- Postgres & modern data stores
- AI / LLM application layers
Legacy we speak
- COBOL & mainframe logic
- Java & .NET monoliths
- Legacy relational databases
- On-prem & regulated environments
- Undocumented internal APIs
- Systems no one wants to touch
Who it's for.
Leaders who won't trade away control
Get capacity with the visibility and discipline of your own team.
Companies owning a new product area
A cross-functional squad that can own it end to end.
Not a typical software company.
Forward-deployed engineers, not juniors
Every engagement is led by engineers who've shipped production software for years.
AI speed, with the controls
Validation and human review are built into the process, not bolted on at the end.
Fully yours, fully accountable
Full IP assignment, an NDA from the first conversation, and an audit trail that outlives the project.
Questions, answered.
How is a managed product team different from staff augmentation?
Staff augmentation gives you hours and leaves the management and quality risk with you. A managed product team gives you forward-deployed engineers who take ownership, run on our Cortex delivery process, and keep the work planned, validated, and visible — you get outcomes, not just seats.
Do the engineers work with our existing team and process?
Yes. Managed teams plug into how you already work — your tools, standups, and roadmap — while bringing our planning, validation, and audit-trail discipline with them.
Can we scale the team up or down?
Yes. Engagements flex with your roadmap, so you can add capacity when priorities demand it and scale back when they don't.
Who owns the software the team builds?
You do, completely. Every engagement includes full IP assignment and is covered by an NDA from the first conversation.
Start with a clear-eyed look at your build.
Whether you're starting fresh or improving something that exists, begin with a free Agent Readiness Assessment — a concrete read on where AI-assisted delivery is safe, where it's risky, and where the leverage is. The report is yours either way.
This service is available as a Cortex Pod — scoped to an outcome, governed end to end.