Ship models you can prove got better.
Helix closes the loop from raw data to evaluated release — crawl, curate, label, train, and evaluate with statistical rigor instead of spot-checks. Self-hosted, provider-agnostic, OpenTelemetry-native.
A 30-minute walkthrough on your own data — no integration required.
Works with the stack you already run
One loop that turns failure into fuel.
Most teams stitch crawling, labeling, training, and evaluation into a brittle chain. Helix makes them a single, compounding loop — the more it runs, the better your AI gets.
Crawl
Automated crawling and semantic indexing pull in the raw, real-world data your models have never seen.
Built for every team in the AI stack.
From frontier labs to public-sector deployments, Helix meets you where your hardest data and reliability problems live.
Each stage of the loop is a product on its own.
Production-grade training data, on tap.
Crawl the open web, route work to a global annotator marketplace, and ship datasets your models can trust — with quality baked in at every step, not bolted on at the end.
Explore the Data EngineShip AI agents you can trust.
Evaluate, observe, and guard every agent in production. Statistical rigor instead of vibes, guardrails that fire in under 200ms, and automatic rollback the moment a release regresses.
Explore AEOSRun agents on infrastructure you own.
A self-hosted agent runtime: multi-provider routing, hierarchical memory, sandboxed tools, multi-channel delivery, and orchestration. No per-MAU tax, no vendor lock-in, no data leaving your VPC.
Explore OpenClawSee Helix run on your own data.
A 30-minute walkthrough — no integration required.
Everything else you get in the box.
Beyond the three pillars, Helix ships a full suite of capabilities — so the loop never leaves the platform.
MLOps & training
Pipelines, experiment tracking, and model registry.
Model Context Protocol
First-class MCP server and tool integration.
GenAI studio
Prompt, generate, and ground content with your data.
Decision-graph decomposition
Break complex ontologies into consensus micro-tasks.
Labs
Experimental capabilities and early-access features.
Tessera
Gamified contribution, rewards, and collectibles.
Analytics
Throughput, quality, and cost dashboards in real time.
Teams & collaboration
Roles, projects, and review workflows for orgs.
Marketplace
Datasets, models, and annotation services to buy and sell.
Challenges & rewards
Bounties that pull the crowd toward your hardest data.
Compliance & GDPR
Consent and audit trails out of the box.
Golden evaluations
Gold-standard test sets that gate every release.
Whether you ship the model or sign off on it.
Stop guessing whether your model got better.
Close the loop between the data you ship and the behavior you observe — with evaluation rigorous enough to bet a release on.
Book a demo- One pipeline from raw data to evaluated release
- Statistical eval that catches silent regressions
- Failure attribution that tells you what data to collect next
Evaluation you can take to production.
Score every release against standard benchmark suites and your own golden sets — with Wilson confidence intervals and paired tests, not hunches. The numbers are yours; we just make them rigorous.
Function-calling & tool-use accuracy
Resolved software-engineering tasks
Knowledge & reasoning coverage
Enterprise-ready from day one.
Run the entire flywheel inside your own perimeter, on your terms.
Self-hosted
Deploy in your own cloud or on-prem. Your data never leaves.
SOC 2 & GDPR
Audit trails and consent controls built in.
Air-gapped deploy
Run fully offline for regulated and classified environments.
SSO & RBAC
Enterprise identity, granular roles, and scoped API keys.
Provider-agnostic
No lock-in — route across any LLM vendor or your own weights.
OpenTelemetry-native
Standards-based tracing that plugs into your stack.
The advantage is shifting from who has the biggest model to who has the fastest loop.
Agents are hitting production.
AI moved from demos to systems that act. The question is no longer “can it answer?” but “can we trust it live, at scale, every release?”
The bottleneck is data and trust, not compute.
Frontier capability is increasingly gated by the quality of training data and the rigor of evaluation — exactly the layer most teams improvise.
The loop compounds.
Whoever closes crawl → label → train → eval → gaps fastest improves fastest. A data flywheel is a moat that widens with every turn.
Start the flywheel.
Bring your data, your models, and your hardest problems. We’ll help you turn them into AI that compounds.