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For technical teams & enterprises
Hiring a senior engineer takes months. Knowlance AI puts a coordinated agent team — PM, architect, developer, QA, security, DevOps, data analyst — behind your existing engineers, producing the same artifacts your team already reviews.
What lands in your repo
C4 diagrams, data models, API contracts — before code
Verified vertical slices with tests, on a task DAG you can audit
Threat models plus Semgrep, Trivy, and gitleaks scans
Terraform, Kubernetes/Helm, CI/CD, and deploys with cost guardrails
Why it fits
Well-specified features, internal tools, and services your roadmap keeps deferring — the agents take them through the full pipeline while your engineers review at the gates instead of writing every line.
Every gate is a review your team controls: architecture before code, each verified slice, test and security results, the deployment plan. Redirect in plain language; MAC re-plans the affected work.
Everything the agents produce is a standard engineering artifact in your repository — readable diagrams, real tests, infrastructure as code. Nothing proprietary holds your product hostage.
The pipeline always runs QA and security — generated test suites, self-healing tests, black-box audits of the running app, scans, and non-destructive exploit checks with remediation.
Running on Google Cloud end to end — Vertex AI for inference, Cloud Run and GKE for workloads. If your organization has specific deployment, data-residency, or review requirements, join the waitlist as an enterprise and we’ll talk before launch.
Join as an enterpriseLaunching soon. Teams on the waitlist get early access first.