Transparent engagement model — prove the ROI on your own tickets before you commit. Every plan is tailored to your stack, deployment topology and ticket volume.
Prove the value on your own backlog
1-month engagement · up to 5–10 engineers
Production rollout for engineering teams
Scaled per ticket volume · 50 → 500+ / month
On-prem, air-gapped, regulated industries
Defence · Automotive · Healthcare · Manufacturing
A well-scoped pilot runs on 4 inputs. We handle the rest.
VPN / bastion into the environment where the agent runs.
API access to one of Jira, Azure DevOps, ServiceNow or GitHub Issues.
Access to Confluence / SharePoint / DOORS / Polarion / wiki — read-only.
Source code (read + PR write) and relevant log / trace sources.
Yes. By default we deploy in EU regions of your chosen hyperscaler so model inference, prompts, embeddings and intermediate state never leave EU jurisdiction. For Defence and regulated automotive clients we run fully on-prem with local models — zero outbound traffic.
Yes. We deploy as containerized workloads (Helm chart or Terraform module) inside your VPC and consume your own managed inference quota. Billing, IAM and audit logs stay entirely in your cloud account.
Pilot data shows 70–90% reduction in mean time-to-PR for repetitive defects, and 4–6 senior FTE worth of "ticket triage capacity" recovered per 100 engineers. Numbers are validated weekly during the pilot against your own backlog before any rollout commitment.
C, C++, Rust, Ada, Java, Kotlin, C#, Go, Python, TypeScript, JavaScript, Swift, Objective-C, MATLAB / Simulink, VHDL / Verilog, IEC-61131 — and any DSL we can read documentation for. The agent adapts to your build system, your linter rules and your code-review conventions.
Production deployments today range from 200K to 40M+ lines of code across multi-repo monorepos. The retrieval layer is incremental and indexes only deltas, so onboarding a new repo is a one-time job; ongoing operations are sub-second.
End-to-end median 2–15 minutes per ticket. With managed cloud inference there is zero infrastructure to provision. For full on-prem, a single 4× H100 / A100 node handles 60–120 engineers; we right-size during pilot.
Custom tools are added during onboarding — we ship a tool-SDK so your platform team owns parsers for proprietary log formats, internal REST APIs, custom DOORS schemas, etc. Average new tool: 1–3 engineering days.
Ticketing (Jira, Azure DevOps, ServiceNow, GitHub Issues), Docs (Confluence, SharePoint, Notion, Coda, MediaWiki), Requirements (DOORS, Polarion, CodeBeamer, ReqIF), Code & Observability (Git, Bitbucket, GitLab, Grafana, Datadog, Jenkins, Splunk, ELK). Custom connectors on request.
During onboarding we ingest your style guide, linter rules, code-review checklists and historical PR comments. The agent uses these as hard constraints and we run a calibration pass on 30–50 closed tickets to tune routing, confidence thresholds and tone before going live.
30-minute discovery call → scoped proposal → pilot kickoff.
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