Built for enterprises that take
software engineering seriously.

Data sovereignty is non-negotiable

Your code is your IP. Sending it to a third-party SaaS for AI processing is a non-starter — security, legal, or both have already said no.

Spire deploys into your AWS account via Terraform. Your code is cloned into ephemeral workspaces inside your VPC. AI inference runs on your Bedrock. Nothing leaves your network boundary. Your security team can audit every component before it runs.

You need infrastructure control, not another SaaS

You've been burned by vendor lock-in, opaque pricing, or tools that disappear behind an acquisition. You want to own the infrastructure your engineering depends on.

You own every AWS resource Spire runs on. ECS Fargate, DynamoDB, Bedrock, Cognito, KMS — all in your account, managed by your Terraform. Model-agnostic: swap between Claude, Llama, Mistral, or Nova per pipeline stage. No vendor lock-in to any single AI provider.

You operate in a regulated environment

SOC 2, HIPAA, ISO 27001, FedRAMP, ITAR — your compliance team needs evidence that AI-generated code was produced under auditable, controlled conditions. "Trust us" doesn't pass review.

Every agent decision is recorded in an immutable audit trail — queryable by execution, phase, agent, or outcome. Independently verifiable by your auditor with no Spire access required. Compliance report generation against SOC 2, HIPAA, and ISO 27001.

You want predictable costs, not per-seat surprises

Per-seat AI tooling gets expensive fast at enterprise scale. You need a pricing model that scales with team output, not headcount.

Spire is licensed annually per organization — not per seat, not per execution. One license covers every engineer, every project, every repository. Compute costs are your Bedrock usage on your AWS contract. No hidden fees, no usage-based surprises mid-quarter.

Your codebase is complex or legacy

AI coding tools work great on greenfield projects and modern stacks. Your reality is a 15-year-old monolith, tribal knowledge in wikis, and conventions that aren't obvious from the source code alone.

Spire's enterprise RAG system ingests your runbooks, ADRs, design docs, policies, and wiki pages into Bedrock Knowledge Bases inside your account. Agents retrieve this context at execution time — reasoning over your documentation and your code. Combined with the compounding knowledge store that learns from every execution, agents operate with the context of someone who has been at the company for years.

You need a force multiplier, not more headcount

Hiring is slow and expensive. Your backlog is growing. Your engineers spend most of their time on well-defined implementation work that is necessary but not innovative — migrations, API versioning, test backfills, vulnerability patches.

Spire recovers the capacity your team spends on work that should not have required them in the first place. Review-ready pull requests across multiple repos from a single feature request. Your engineers review and approve. The platform handles the implementation. Your team focuses on the work that actually requires their judgment.