Engineering the future of artificial intelligence.
We build production AI systems for serious teams — agents that don't hallucinate the bill, retrieval that respects your data, evals that catch regressions before customers do.
AI you can put into production.
Six practices we've shipped to production, each with the discipline of a real engineering team — versioned evals, observability, cost dashboards, rollback rehearsed.
LLM development
Prompt design, system architecture, and the guardrails that keep model behavior predictable in production.
→AI agents
Multi-step agents with tool use, capability surfaces you understand, and audit trails on every action.
→Retrieval-Augmented Generation (RAG)
Retrieval pipelines tuned to your corpus, not the textbook. Vector + lexical hybrid, reranking, citations.
→AI automation systems
Workflows and orchestration that replace the spreadsheet and the intern. Observable, idempotent, retried.
→AI integrations
Stripe, Twilio, HubSpot, custom internal systems. MCP servers, webhooks, structured outputs you can trust.
→Evals & observability
Versioned regression suites, drift monitoring, cost-per-request dashboards. AI you can debug at 2am.
→The TroidX AI platform.
We're building an in-house platform layer for the systems we ship to clients — eval infrastructure, retrieval primitives, observability — so every engagement starts from a stronger foundation.
Eval substrate
Versioned eval suites with regression, golden-set, and adversarial tracks. Reusable across client engagements.
Retrieval primitives
Battle-tested chunkers, rerankers, and hybrid pipelines. Tuned, benchmarked, production-grade.
Observability
Per-prompt cost, latency, drift, and quality metrics. Surfaced where engineers actually look.
What's next.
Our current near-term roadmap, public so clients and candidates know where this is going.
- Q4 2025 · shipped
Evals v1 — versioned regression harness
Now in use across three production AI client systems. 200+ prompt suite for the largest engagement.
- Q1 2026 · shipped
Retrieval primitives v1
Hybrid search + cross-encoder reranking, deployed for two RAG engagements; benchmarks public on the blog.
- Q2 2026 · in flight
Observability dashboards
Drift detection, cost-per-request, hallucination rate by prompt. Self-hostable.
- Q3 2026 · planned
Agent harness
MCP-first tool registry, capability scoping, audit trails. For multi-step production agents.
- Q4 2026 · planned
TroidX AI Cloud (private beta)
Hosted version of the platform layer for select existing clients. Not a SaaS launch — a managed extension.
Ship AI that holds up.
30-minute discovery call. We'll look at what you're building, name the real risks, and tell you whether we're the right team — even if the answer is no.