Engineering services for AI systems
We help teams build and ship production-grade software — especially where AI, data, and governance requirements must be implemented in real systems.
This is not “generic outsourcing”. We focus on shipping controls, reliability, and operational readiness — the part where most teams get stuck after an audit or enterprise procurement.
Free intro call. We’ll clarify scope, timeline, and the fastest path to shipping.
What we do
We implement software changes that make AI systems reliable, observable, and ready for real-world usage — from architecture to production controls.
- Build & extend products: web, mobile, internal tools, workflows
- AI system engineering: LLM features, RAG, agents, evaluation, monitoring
- Data & privacy engineering: minimization, retention, access boundaries, vendor chain
- Cloud & highload: AWS/Azure/GCP, scalability, observability, reliability
When teams call us
Typical triggers that lead to successful engagements:
- Enterprise procurement asks for evidence (logging, controls, change management)
- You launched AI features, but need monitoring, safe-guards, and operational discipline
- You need to ship privacy/data controls without slowing down product delivery
- You want senior execution: architecture + implementation + handoff
What we implement (practical capabilities)
The goal is to turn requirements into working controls. Here are the implementation areas we cover most often.
AI system controls
- Audit trails: what happened, when, and why
- Human oversight workflows (review/approve/escalate)
- Model evaluation pipelines + regression checks
- Monitoring dashboards and alerting
- Role-based access control around AI actions
LLM & agent safety
- Prompt injection mitigation + safe prompting patterns
- Tool permission boundaries (least privilege)
- Output filtering / policy checks / redaction
- Usage analytics and anomaly detection
- Fallback behavior and safe failure modes
Data & privacy engineering
- Data minimization and retention logic
- Training vs inference separation
- Logging policies (what is safe to store)
- Vendor & processor chain integration (DPAs-ready)
- Access boundaries for sensitive data
Security & reliability
- Secrets, keys, and permission architecture
- Rate limiting, abuse prevention, and safe defaults
- Observability: logs, metrics, traces
- Incident handling workflows
- Release controls and rollback strategy
Cloud & infrastructure
- AWS / Azure / GCP architecture and cost controls
- CI/CD pipelines and environment hygiene
- Containerization, IaC, and scaling patterns
- Highload API and data pipeline optimization
- Pragmatic security hardening
Product delivery support
- Technical discovery and architecture notes
- Roadmap conversion to tickets (implementation plan)
- Senior engineering leadership support
- Handoff and documentation that engineers actually use
- Optional: ongoing support for release reviews
How we work
We keep scope tight, ship in increments, and leave your team operational — not dependent.
Scope & success criteria
We align on what “done” means (controls shipped, dashboards live, audit evidence available), and define a realistic timeline.
System map & integration plan
Quick architecture walkthrough + data-flow understanding, then a small plan that fits your stack and constraints.
Implementation in small releases
We deliver incrementally: controls, instrumentation, workflows, and reliability improvements — with demos and checkpoints.
Handoff & operational readiness
Clear ownership, docs, runbooks, and a backlog for what’s next. Your team can maintain and extend the system.
Engagement formats
- Project delivery: fixed scope with a clear output (best for most clients)
- Implementation sprint: 1–2 week sprint to ship a concrete set of controls
- Ongoing support: monthly engineering + release reviews
We’ll propose the right format after a short call.
What we don’t do
- Generic staff augmentation without ownership
- “Compliance theatre” (docs without controls)
- PoC-only work with no production path
- Lock-in: we optimize for handoff and continuity
We prefer work where shipping matters.
Ready to ship?
Tell us what you’re building and we’ll propose the fastest path to a production-ready implementation.
If you’re still evaluating risk and scope, start with the Free AI Risk Assessment.