From AI experiments to reliable engineering.
For engineering organizations of 200 to 2,000 people. Fractional CTO leadership, an engineering system your team and AI agents build in, and practices that keep the team together.
Book an architecture briefingA free call with our engineering leads about your bottlenecks, your security needs and a 90-day plan.
1. Plan
Agree the problem, the outcome and how the software should behave, in scenarios anyone can read. Automated checks confirm it's ready to build.
2. Build
Small tasks, tests first. AI agents work in isolated sandboxes, and every change is reviewed against the spec before it merges.
3. Learn
Track adoption, performance and errors in production. Document decisions and lessons so they stay with your team.
AI coding tools speed up drafts. Then the work stalls.
It takes leadership direction, a dependable engineering workflow and an aligned team, working together.
Review bottlenecks
Draft code arrives faster, and senior engineers spend their week reviewing unverified pull requests and fixing subtle bugs.
Security and access
Security teams push back on AI tools that want open access to repositories, credentials and customer data.
Team friction
Without clear workflows, engineers worry about quality, product and engineering drift apart, and adoption stalls.
One partnership, three parts.
Leadership
Aliveness Ventures
- Fractional CTO advice alongside your executives.
- Product and engineering squads set up so people and AI work without handoff delays.
- Clear rules for data, model use and compliance.
Engineering system
Aliveness Dev
- Plan, Build, Learn, built into your repositories.
- Automated readiness checks, tests first, spec-based code review.
- Agents in isolated sandboxes with credential protection and token budgets.
Team alignment
Aliveness OS
- Structured reflection and peer feedback that keep fast-moving teams connected.
- Senior engineers move from boilerplate review to architecture and mentoring.
What changes for each leader
| Role | Today | With Aliveness |
|---|---|---|
| CTO or VP of Engineering | Slow reviews, hidden bugs, broken main branches. | Faster delivery, with automated checks catching errors before review. |
| Head of Product | What ships doesn't match what was agreed. | Scenario-based specs, so what's agreed is what ships. |
| Head of Security | Fear of leaked credentials and unchecked generated code. | Sandboxes keep AI agents away from keys and company secrets. |
| Engineering leads | Days lost to reviewing trivial AI code and managing team anxiety. | Time back for architecture and system design. |
The first 90 days
Workflow and security review
Find your delivery bottlenecks, set security rules and model policies with your security leads, and pick one or two pilot squads.
Setup and pilot sprint
Install Aliveness Dev and its sandboxes, bring team practices into sprint routines, and ship a production feature through Plan, Build, Learn.
Rollout and advisory
Extend to the remaining squads, with fractional CTO guidance, architecture reviews, and delivery speed and stability tracked over time.
We'll look at your current bottlenecks and security requirements, and outline a 90-day plan for your teams.
We run our own product on it.
Aliveness OS, our production platform for team reflection and peer feedback, is built and deployed entirely with Aliveness Dev.
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Health and wellness products
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The people
Engineering and product leaders from Meta AI, Amazon, McKinsey and technology startups.