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Enterprise

Deploy DeepV review inside your enterprise environment

DeepV review is delivered as containerised microservices with an API-first contract. The same Prime Brain runtime, the same 20 canonical review brains, and the same glass-box audit trail run inside the deployment you choose. Pay-per-review pricing, no subscription, no .env files in the stack.

Deployment options

Managed deployment

DeepV-hosted on Cloud Run-style containerised services. Per-review pricing, no infrastructure burden on your team, no .env files in the deployment artifact.

Private network

DeepV reachable through your private connectivity (VPC peering / private service connect). Outbound calls scoped to your enterprise rules.

Customer-hosted containers

For environments with strict residency or vendor-isolation requirements, DeepV ships as a containerised stack you operate. Secrets via your KMS / secret manager — no .env in the build.

Integration patterns

API-first

Submit a review payload (PDF / MISMO 3.6 XML) and receive structured findings + audit trail back per review_id. Webhooks for completion events.

Portfolio batch

Submit batches and receive per-review JSON + PDF. Independent and idempotent — re-run the same payload to verify content stability.

Reviewer-in-the-loop

Reviewers consume the structured output and audit trail; DeepV does not generate or alter the underlying appraisal. The review surface has no follow-up chat.

Security + data-handling posture

Control-alignment language only. DeepV does not currently publish independent SOC 2 / GDPR / GLBA / HIPAA attestations — see /security for the full posture.

  • Operates under SOC 2-aligned controls; independent attestation not yet published.
  • GDPR Article 5 / 32 data-handling alignment for in-scope data.
  • GLBA Safeguards Rule alignment for customer financial information.
  • No .env files in the build or in source control; secrets via your KMS / Secret Manager.
  • Org / workspace scoping. Least-privilege service identities.
  • Audit trail: rule_pack_version, brain_version_ids, prompt_version, model_id, seed, LangSmith trace_id per review.
  • Per-review pricing. Investor-delivery alignment is scoped through AppraisalAI on a per-engagement basis.
  • DeepV is not legal advice; outputs support your team and counsel.

Controlled rollout

  1. 1

    Pilot scoping

    Pay-per-review pilot on a real slice of your portfolio. We agree review depth, brain set, and acceptance criteria up-front.

  2. 2

    Sample run + reconciliation

    You receive the per-review JSON + PDF and the audit trail. Your team reconciles against the source appraisal record.

  3. 3

    Integration + scale-up

    Choose managed / private-network / customer-hosted. Wire up API + webhooks. Add brain coverage as you grow.

  4. 4

    Steady-state operations

    Per-review billing. Periodic review depth tuning. Audit-trail readiness for regulatory revisits.

Scope a DeepV pilot for your team

We will sketch a pay-per-review engagement for a real slice of your portfolio, including review depth, integration pattern, and acceptance criteria. Pricing is per review and scoped to your pilot.