Stand up self-hosted models so sensitive code and data never leave your infrastructure.
Enterprise ai governance
Adopt AI under enterprise constraints
AI gets harder to use when security, compliance, and data handling requirements shape the path to production. Enterprise teams need a setup that fits those conditions from the start.
Why enterprise AI is different
AI has to pass more
than code review.
For regulated and security-sensitive teams, the challenge is not whether AI is useful. It is whether the models, tooling, and workflows can meet security review, audit requirements, and data handling rules before rollout moves forward.
Keep sensitive data off third-party infrastructure.
Private, self-hosted, and on-device models reduce external exposure without blocking adoption.
Pass audits with clear controls and documentation.
Workflows line up with the EU AI Act, GDPR, SOC2, and HIPAA requirements your teams already report against.
Set hard boundaries on agents and integrations.
Least-privilege patterns and enforced guardrails stop AI tools from reaching into systems they should not.
Adopt AI safely without loosing speed
Custom + Private Models
Deploy the right model for the job
Standard hosted models do not fit every product or data environment. We deploy private, self-hosted, and on-device models where teams need tighter control, offline use, or models adapted to product-specific data and workflows.
Use Cases
On-Premise LLM Deployment
On-Device AI
Run models directly on user devices for privacy, offline use, and low-latency experiences without a cloud round-trip.
LLM Fine-Tuning
Fine-tune models on your codebase, conventions, and domain so outputs match how your teams actually build.
Model Evaluation
Benchmark candidate models against your real engineering tasks to pick the right one and prove it works.
Regulatory Compliance
Get AI approved in regulated environments
Regulated teams need AI engineering practices that fit existing compliance requirements. We align controls and workflows with frameworks such as the EU AI Act, GDPR, SOC2, and HIPAA, reducing audit risk and making rollout easier to approve internally.
Use Cases
EU AI Act Readiness
Align AI engineering practices with EU AI Act obligations and close the highest-risk gaps before they become blockers.
GDPR for AI Workflows
Review how AI tools handle personal data across the delivery pipeline and bring practices in line with GDPR.
SOC2 AI Controls
Put the controls in place to align AI-assisted engineering with SOC2 requirements auditors actually check.
HIPAA AI Controls
Make AI-assisted engineering safe to use in HIPAA-regulated environments without slowing delivery down.
Compliance Readiness Assessment
Map current AI usage against your regulatory footprint and produce a prioritized remediation plan.
AI Security + Audits
See where your AI stack is exposed
Most AI setups give tools and agents too much access too early. We audit permissions, integrations, and data exposure so teams can tighten control and make the setup fit enterprise requirements.
Use Cases
AI Tooling Audit
Map which AI tools are in use, what data they touch, and where the biggest operational and policy risks sit.
MCP & Agent Security Review
Review agent workflows, tool access, and MCP infrastructure to reduce security and control risks.
Tool Access Control
Design least-privilege access patterns for agents interacting with internal systems, repos, and production data.
Data Exposure Assessment
Identify where code, customer data, or IP is leaving your boundary through AI tools and close the gaps.
Enterprise Guardrails
Define the policies, allowlists, and enforcement points that keep AI usage inside the lines at scale.
Assess → Deploy → Operate
Get AI approved and running.
Assess
We assess models, controls, and exposure. Leadership gets a clear approval path.
Code and data stay in your environment
Find the gaps before rollout
1-2 WEEKS
Deploy
We deploy models, workflows, and guardrails. AI runs under the controls it needs.
Models and controls go live
Runbooks, matrices, traceability included
1-2 MONTHS
Operate
We keep the setup ready for the next cycle. Models, policies, and controls stay up to date.
Update models, policies, and controls
Stay ready when reviews return
PER REVIEW CYCLE
Case studies
What shipping at AI speed looks like
Open Source
Want to build it on your own?
We open-source the tools behind our delivery model.
Use them, fork them, or let us run them for you.
Insights
Worth your time, by engineers.
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