Fast track your software factory
Pre-built agents for DevEx, DevOps & SRE, plus your own custom SDLC agents, rolling out of a single self-improving agent platform and deployed at the sovereignty level you choose.
THE AUTOHEAL DIFFERENCE
From DIY agents to a software factory
Building it yourself
Quarters Before Anything Ships
4–6 quarters wiring frameworks, sandboxes, gateways and evals together.
Every Team Is a New Project
Context and instructions rebuilt from scratch for each team you onboard.
Agent Debt Accumulates
Prompts drift as your stack moves. Nobody measures whether accuracy dropped.
Token Bills Only Go Up
More usage, more spend, and no dial between cost and autonomy.
With Autoheal
First Agent Run in Minutes
Pre-built agents for incident response, release readiness, vulnerability remediation and more.
Every Team Is Additive
One team onboards in hours, the whole org in days. Each rollout builds on the last.
Agents Self-Improve
Private evals score every run. Regressions trigger benchmarked, engineer-approved updates.
Cost Falls With Usage
Cost-optimized model routing, plus memories and skills that cut the work each run needs.
WHY AUTOHEAL
Three pillars that set Autoheal apart
Where other agentic SDLC platforms fall short
ACCURACY
Self-Improving Agent Specs
Your agents are measured like production code. Score drops trigger benchmarked, engineer-approved updates.
Monitor via private evals: Online evals score every run against trajectory and artifact rubrics. Triggers update recommendations.
Test via golden datasets: New agent definition is tested against selected good and bad past runs from your environment before promoted live.
COST
Self-Improving Agent Context
Your agents get cheaper with every run. One engineer’s input or agent’s discovery becomes institutional knowledge.
Memories via reflection: Every run is reflected on; what worked and what failed becomes memory for the next run.
Skills via dreaming: Nightly dream to auto create skills from all agent runs during the day.
SOVEREIGNTY
Zero-Trust Security & Governance
Runs entirely inside your own cloud account, under provable governance controls including LLM inference costs.
Agent governance & audit: Explicit authorization boundaries and engineer-driven approval policies, scoped at a team level.
Data residency & cost governance: All data stays contained in your env & LLM cost is governed
