We design, build, and operate AI systems for ambitious companies. Custom agents, retrieval pipelines, evaluation harnesses — engineered to survive production, not just to demo well.
$ helix deploy support-agent --env=prod
→ loading tools.ts (14 tools)
→ embedding knowledge_base/ (3,842 docs · pgvector)
→ running evals (120 cases · regression)
✓ deployed v0.42.1 · 2.1s p50 · 0 failures
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Trusted by teams shipping AI into the wild
What we do
We don't sell 'AI strategy.' We sell shipped systems. Every engagement ends with code in your repo, evals in your CI, and someone on your team who can run it without us.
Multi-tool agents that close real loops — onboarding, support triage, sales follow-up, internal ops. Built on Claude, GPT, or whichever model fits the job.
Production-grade retrieval over your docs, tickets, code, and data warehouses. Hybrid search, chunking that actually works, and citations users can trust.
Real-time voice agents that answer phones, qualify leads, and book appointments. Sub-700ms latency, your tools, your brand.
The boring part that decides whether you ship. Eval harnesses, regression suites, safety filters, and dashboards your CTO will actually open.
When prompting plateaus, we fine-tune. SFT, DPO, and distillation pipelines tuned for cost, latency, and the specific failure modes hurting you.
AI-native internal tools that replace the spreadsheet-and-Slack stack. Built fast on Next.js + the Anthropic SDK, owned by your team day one.
How we work
Most AI projects fail in the gap between demo and production. Our process is engineered to close that gap — by validating value early and refusing to ship anything that can't be measured.
01
Week 1
We embed with your team, map the workflow we're touching, and define what 'shipped' actually means. Concrete success metrics or we don't start.
02
Weeks 2–3
A working proof-of-concept against your real data — not a Figma flow. You decide whether the value is there before we spend another dollar.
03
Weeks 4–8
Hardening, evals, observability, and integration into your stack. We pair with your engineers so nothing we write becomes a black box.
04
Ongoing
Documentation, runbooks, and an optional fractional retainer for when models change, costs drift, or your scope expands.
Selected work
A sample of recent engagements. Names and figures shown for template purposes — swap in your own case studies.
Fintech
Ferrous Bank
Replaced a 14-step manual review with an agent that pulls KYC, runs risk scoring, and writes the analyst memo. Underwriter throughput doubled.
Healthcare
Lattice Health
Built a citation-grade retrieval system across two decades of internal protocols. Nurses get the right policy in seconds instead of hunting SharePoint.
DTC retail
Quill
A custom voice agent handles 71% of out-of-hours customer calls — order status, returns, sizing — and escalates the rest with full transcript context.
Tech we ship on
We pick tools that survive contact with production. The stack below is our default — swap any layer when your situation demands it.
Models
Retrieval
Infra
Voice & realtime
Evals & observability
Tooling
Engagement models
We don't believe in indefinite consulting. Every engagement has a finish line — though most clients keep working with us after they cross it.
A focused prototype, validated against your real data.
Production system, owned by your team at handoff.
Fractional AI team for ongoing operation and expansion.
What clients say
“We'd burned six months on an internal AI team that couldn't get out of demo mode. HelixAI had a working prototype against our actual data in two weeks.”
Sarah Mendel
CTO, Ferrous Bank
“The eval harness alone was worth the engagement. For the first time we could tell whether a prompt change was actually an improvement, not just vibes.”
Devon Wu
Head of Engineering, Lattice Health
“They left the code clean enough that my team owns it now. No black box, no vendor lock-in, no quarterly check-ins to renew their hourly rate.”
Tomás Reyes
VP Product, Quill
Illustrative testimonials shown for template purposes.
FAQ
30-minute discovery call. No pitch deck, no nurture sequence — just an honest read on whether the project is worth doing and what it would take.