Reindeer for Agents and Builders

Reindeer gives you a place to run your agent without compromising security or quality

You bring the agent logic and Reindeer gives you the runtime, the guardrails, and the integrations. The boring-but-critical parts (secrets, identity, audit, evals, human-in-the-loop, enterprise connectors) are already solved when you ship.

Why builders pick Reindeer

Security you don't have to build yourself

• Compliance you inherit. SOC 2 Type 2 (audited by EY), ISO 27001, HIPAA, GDPR, and CCPA are already in place. Your reviewers get the evidence, not a remediation project.
• Bring your own identity. Provision users through your existing IdP and SSO, so there's no parallel directory to maintain. Role-based access control maps permissions to the roles your teams already define.
• Use any model. Run an open-source model behind a firewall, or use Google, Anthropic, OpenAI, or AWS. Choose yourself, or let Reindeer pick the one best suited for the task. Zero data retention agreements in place with all LLM providers.
• Deployment that fits your requirements. Run multi-tenant, or choose a dedicated single-tenant environment where your data and your customers' data are never co-mingled with another company's. Either way, you pick the cloud provider and region, so data residency stays on your terms and nothing has to move to a third-party environment.
• Per-workflow secrets, scoped access. No agent holds a credential. Secrets are injected at runtime on a per-tool basis and are never visible to the agent itself.
• Full audit trail. Every tool call, every decision, every escalation is logged and explainable, so you can show exactly what an agent did and why.

Quality that holds up in production

• Confidence scoring on every action, with thresholds you tune per workflow. A low score doesn't trigger an immediate handoff. The agent first tries to close the gap itself, pulling more records from connected systems or asking the customer directly. It escalates only if it still can't clear the threshold.
• Human-in-the-loop escalation. When the agent escalates, it reaches your subject matter expert in the tools they already use (email, Slack, SAP, etc.) with a specific question and a fully auditable reasoning trace behind why it stopped. The expert answers one question. They don't redo the agent's work.
• Feedback in plain English, scoped before it sticks. The expert replies in plain language. The agent parses it and asks structured follow-ups to pin down the boundary: one case, a category, or a broader rule? It reruns that case for verification. A single correction resolves the case. It does not silently rewrite logic for every future one.
• Pattern detection that proposes governed change. Recurring exceptions read as a policy gap, not a pile of one-offs. The platform bundles a proposed change with exactly what will change, which cases it affects, and regression results showing nothing previously validated breaks. Nothing goes live until a human approves it.

Skip the boilerplate

• Hundreds of pre-built skills and integrations. Skills cover the work itself: OCR, document parsing, extraction, classification, routing. Integrations connect the systems that work lives in: SAP, Oracle, NetSuite, Workday, ServiceNow, and more, through APIs, your existing RPA, or Reindeer's own. If a connector doesn't exist yet, the team builds it, including custom.
• Versioned contexts, so changes ship safely. The prompts and reference docs an agent runs on are version-controlled. You can update them, see exactly what changed, and roll back if needed. No edit silently changes how an agent behaves.
• Run history, replay, and live monitoring. Every run is logged and replayable, so you can re-run a past case and see exactly what the agent did. Each live agent carries a grounding score, a real-time read on how closely its decisions track validated outcomes.

Get started

Install the CLI

curl -fsSL https://storage.googleapis.com/reindeer-release-external/install.sh | bash

irm https://storage.googleapis.com/reindeer-release-external/install.ps1 | iex

Log in

reindeer login
reindeer login --headless --no-prompt

Build your first agent

reindeer workspaces create --name my-workspace
reindeer agents create     --file agent-config.json
reindeer artifacts create  --file knowledge-doc.pdf
reindeer connectors trigger --file run-config.json
reindeer runs list

Core concepts

CLI reference

The full, always-up-to-date CLI reference lives at the Reindeer CLI docs. It covers installation, auth, every resource (agents, connectors, artifacts, contexts), workflow execution, and multi-profile setup. Treat that as the source of truth — this page is the overview.

Tips for building well

Who's behind Reindeer

• Built by seasoned executives from Google, Microsoft, and Oracle. 
• Backed by Lightspeed Venture Partners. 
• Trusted by Fortune 100 companies.

Talk to us