Close to the work
We sit with operators, uncover edge cases, and design around the way work really happens.
Founding partner program · now forming
Forward-deployed AI engineering
From workflow bottleneck to production AI.
We embed with your team, find the AI opportunities worth pursuing, and build the production systems that deliver measurable results.
Embeddedwith your team
End-to-endfrom map to launch
Measuredagainst real outcomes
LIVE DELIVERY SYSTEM SYSTEM ONLINE
Workflow discoveryAgentic systemsRAG & knowledgeEnterprise integrationEvaluation & guardrailsProduction deliveryWorkflow discoveryAgentic systemsRAG & knowledgeEnterprise integrationEvaluation & guardrailsProduction delivery
01 Why CodeEater
Your AI strategy should end in shipped software.
Most teams do not need another innovation workshop. They need a senior technical partner who can move from the messy reality of a workflow to a dependable system people actually use.
See the systems we buildBuilt end-to-end
Architecture, models, product, integrations, evaluation, and rollout live in one delivery loop.
Measured in outcomes
We define the baseline first, then measure quality, speed, adoption, and business impact.
02 What we build
Choose a bottleneck
Where should AI create leverage first?
Explore three high-value starting points. Every engagement is shaped around your systems, risk, and operating reality.
Agentic operations
Turn repetitive work into a reliable AI workflow.
We map the handoffs, connect the systems, and build agents that know when to act, validate, recover, or ask a human.
Expected directionFaster cycles · fewer manual handoffs
WORKFLOW / OPERATIONSREADY TO MAP
01Observe
CONNECTED
02Plan
CONNECTED
03Execute
CONNECTED
04Verify
OUTCOME
03 How we deliver
One embedded team. One continuous loop.
We move from ambiguity to adoption.
Find the leverage
Interview operators, map the workflow, and quantify the highest-value opportunity.
Prove it on real work
Prototype with your data, users, edge cases, and a success measure we agree on first.
Engineer for reality
Add integrations, guardrails, evaluation, observability, security, and human control.
Launch and transfer
Roll out with your team, measure adoption, document the system, and build the next playbook.
04 Our operating principle
Built with you.
Owned by you.
CodeEater is not a black-box lab. We work inside your constraints, leave a production system behind, and make your team stronger in the process.
- 01Your data stays inside an architecture designed for your risk profile.
- 02Your team sees the decisions, evaluations, and tradeoffs—not just the demo.
- 03Your system is documented, observable, and ready to evolve after launch.
Founding access is open
A small first cohort
Bring us the workflow your team is tired of fighting.
Join the waitlist for an early-fit review and priority access to CodeEater’s first forward-deployed engagements.
01Workflow fit review02Opportunity and risk map03Priority launch access
REQUEST ACCESS≈ 60 seconds
05 Practical questions
Before we embed.
Who is CodeEater for?+
Teams with a real operating bottleneck, access to the people and systems around it, and the appetite to ship—not just explore AI.
Do we need a finished AI roadmap?+
No. Opportunity discovery is part of the work. We can start with a painful workflow and determine whether AI is the right lever.
Can you work with our existing stack?+
Yes. We are stack-pragmatic and design around your data, cloud, security, model, and integration constraints.
What happens after launch?+
We measure performance and adoption, transfer the system and playbook, and can stay embedded for the next high-value workflow.