Demo-Grade Prototypes
Impressive in a meeting, unreliable on real data.
Autonomous agent workflows, fine-tuned domain models and vector retrieval architectures wrapped in deterministic, observable pipelines.
These are the patterns we are usually called in to fix. Each one compounds the longer it is left alone.
Impressive in a meeting, unreliable on real data.
Nobody can explain why an agent took an action.
Sensitive records sent to third parties without controls.
Each stage ends with a review point, so you see progress, approve direction and catch problems before they get expensive.
System audits, threat modeling, and stakeholder alignment.
Capacity modeling, schema design, and milestone mapping.
Design tokens, interactive prototypes, WCAG audit.
Test-driven development, trunk builds, strict peer reviews.
Automated regression, pen-testing, load simulation.
Canary traffic rollout, automated failover verification.
24/7 SRE monitoring, automated patch matrix, latency SLA.
We ship AI as production software: evaluated against test sets, grounded in your data, observable end to end, and bounded by guardrails so automation stays predictable.
Assessment of the process, the data and the risks before building
Test cases that define what good looks like and gate every release
Grounded answers or tool-using agents connected to your systems
Access control, redaction and human approval steps where needed
Hosted in your cloud or on-premise when data residency requires it
Quality tracking in production and regression checks on every change
What we build under this service, each piece designed and built by senior engineers and reviewed at every stage.
Grounded answers over your documents with citations and access control.
Tool-using agents with approvals, retries and full audit trails.
Domain adaptation with evaluation sets and regression gates.
Deterministic pipelines that remove manual hand-offs between systems.
What changes when senior engineers own the outcome from the first call to long after launch.
Test sets, regression suites and monitoring measure quality before and after every change.
Every step is traced, approved where needed, and replayable.
Access control, redaction and private hosting keep data inside your boundary.
An honest look at the alternatives, so you can choose the route that fits your team.
| Criteria | Oblique Tech | In-house team | Freelancers | Large agency |
|---|---|---|---|---|
| Evaluation and guardrails | Test sets before launch | A new skill for most teams | Often demo focused | Often advisory led |
| Time to start | Days after scoping | Months to recruit | Days to weeks | Weeks of procurement |
| Seniority | Senior engineers only | Depends on who you hire | Varies by individual | Often mixed with juniors |
| Code ownership | 100% yours | Yours | Usually yours, check the contract | Depends on the contract |
| Continuity | Documented handover and a stable team | Tied to staff retention | Single point of failure | Staff can rotate between projects |
| Cost model | Fixed scope or monthly rate | Salary plus overhead | Hourly, can drift | Premium rates and change orders |
| Visibility | Sprint demos and shared repositories | Internal reporting | Self-managed | Account manager reports |
Choose an engagement model. Exact figures are confirmed in writing after a short scoping call, before any work begins.
Teams validating scope and risk
One-off, short engagementA defined outcome with milestones
Milestone-based billingOngoing roadmaps and long-term products
Monthly engagementEvery model includes full code ownership, an NDA on request and a named senior lead.
Where this service is put to work most often.
Back-office work dominated by repetitive triage and data entry.
Teams that need accurate, grounded answers at scale.
Companies with knowledge locked in documents and systems.
Roadmaps that need reliable AI features, not demos.
The targets we engineer for and track on every engagement.
Direct answers on ownership, process, scope and support, so you can judge fit before the first call.
We select per task across hosted and open models, and we are not tied to a single vendor.
Every feature has an evaluation set and regression gates, with monitoring in production.
Yes. We deploy in your cloud or on-premise when data residency requires it.
Describe the process you want to automate and we will propose an evaluated pilot within 5 business days.