01
Knowledge assistants & search
Retrieval over your documents, tickets and code, with citations and permissions that match your existing access rules.
AI Tooling
AI tools wired into how your team works.
We build internal assistants, agents and developer tooling connected to your systems, with clear limits on what they can see, what they can do and what they cost.
Is this for you?
Sound familiar?
If any of these describe where you are, this is the right place to start.
Knowledge is scattered across wikis, tickets and drives, and answers take hours to find.
Teams repeat the same multi-step tasks across five systems every day.
You want coding agents across engineering, with controls your security team will approve.
An AI prototype works in a demo, but you can’t tell if it’s getting better or worse.
Scope
What we build.
Tools that sit inside your existing systems and permissions, so they get used and stay safe.
02
Agents & workflow automation
Agents that take multi-step actions across your systems, with approval steps wherever a mistake would be expensive.
03
MCP servers & integrations
Secure Model Context Protocol servers that give assistants and coding agents governed access to internal tools and data.
04
Coding agent rollout
Coding agents configured with your codebase context, conventions and guardrails, plus the practices that make them productive.
05
Evaluation & observability
Task-specific test sets, regression runs and tracing, so every model, prompt or provider change comes with evidence.
06
Cost control & model routing
Spend limits, caching and routing between models, so you pay for top-tier quality only where it matters.
Our product
Koda Code
Our desktop coding agent. We build it and use it on every engagement, and we can configure it for your team, your models and your policies.
- Runs on macOS, Windows and Linux
- Works with the model provider you choose
- Understands your project through a local code graph
- Asks before running commands you haven’t approved
- Extends with MCP servers, skills and hooks
Process
How it works.
Short loops and written decisions, so you always know what’s happening, what it costs and what comes next.
- 01 · Week 1
Map
Workflows, systems, data access and risk, plus the measure that defines success.
- 02 · 2–3 weeks
Prototype
A working tool on real data, with an evaluation set from the very first version.
- 03 · 2–4 weeks
Harden
Permissions, audit logging, monitoring, cost controls and a security review.
- 04 · Staged
Roll out
Gradual release, admin training, and usage and quality dashboards.
Engagements
Ways to engage.
Every engagement starts with a free 30-minute call and a written proposal. No surprises on scope or price.
Tooling sprint
One production tool with evaluations, built end to end.
- Pricing
- Fixed fee
- Length
- 4–6 weeks
Platform build
A shared AI platform: model gateway, MCP servers, evaluations and several tools.
- Pricing
- Fixed, after discovery
- Length
- 8–16 weeks
Managed improvement
Ongoing evaluation runs, model updates and new capabilities.
- Pricing
- Monthly
- Length
- Month to month
FAQ
Questions we hear often.
Yes. We deploy into your AWS, Azure or Google Cloud accounts, or on-premises, and can use models hosted in your own environment where data rules require it.
Least-privilege access, approval steps for consequential actions, full audit logs and hard spend limits. We design for the mistake, not just the happy path.
Your evaluation suite runs on every change, so you see the effect on your own tasks before your users do, and can switch or pin versions.
No. We’re happy to roll out and configure whichever coding agents your team prefers. Koda Code is an option, never a requirement.
Have a workflow worth automating?
Walk us through it on a call. We’ll tell you whether an AI tool will help and what a first version would look like.