Raptor builds software around how your business works.

Andy Salvo, founder and lead engineer, works alongside each client.

Every AI action, in one place.

Who ran it, which model it used, and what it cost.

Fixed scope, agreed in writing.

Scope, timeline, and price before work starts. Clients own all code, documents, and decisions.

Govern and deploy the AI your business runs.

Raptor keeps an inventory of your AI use cases, sets spending limits, enforces your policies, and deploys each system with the same checks.

For founders, operators, and the person who is accountable for AI risk.

AI inventory and traceability. Raptor lists every AI use case, model, and agent you run. Each action shows who ran it, which model it used, and what it cost.

Spend governance. You set a spending limit for each client, team, and agent. Raptor checks the limit before each call and refuses calls that exceed it.

Policy enforcement. You set rules for what an agent can read, write, and spend. Raptor checks the rules before each action and keeps a note of each refusal.

Lifecycle and deployment. Raptor scopes, builds, verifies, and hands off each system. Every deployment passes the same checks and is verified in production.

Raptor is an AI engineering firm.

We put your business in control of the AI it uses.

We build bespoke software.

We learn how your business works, then build software that fits your team, your data, and your tools.

• Data pipelines and a warehouse your AI can read.
• Retrieval over your documents.
• Agents that work inside the tools you already use.
• Evaluation suites that test each system before it ships.
• Models run where your data needs them: your own hardware, your private cloud, or the major providers.
• The platform every call passes through, with spending limits, policies, and an inventory that stay with you.