Custom AI agents, secured and running inside your enterprise.

FlowMo Labs designs, builds and secures custom AI agents and AI products for regulated enterprises. Built on your data, deployed inside your perimeter, red-teamed before release, and owned by you.

Arrange a briefing How we secure agents

125+ agents in production across 73+ enterprises

Alert cluster 4812 · cross-border wires

Client VPC · eu-west-2
  1. Resolve entities across retail, corporate and correspondent accounts
    queued
  2. Score behaviour against peer groups
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  3. Draft SAR narrative with citations
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  4. Analyst sign-off before filing
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  5. File the SAR and write the audit trail
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False positives removed
92%
Analyst throughput
11×
Data residency
Client VPC
Model retention
Zero

Illustrative run. Outcome figures are production results for each agent type.

Our clients stay confidential. Our record does not.

We do not publish the names or logos of the enterprises we work with. The detail behind every figure on this site, from outcomes to architecture, is shared in confidence during a briefing.

Arrange a confidential briefing

Operating recordSept 2026

Enterprise clients
73+
Agents in production
125+
Fleet uptime
99.94%
p95 latency
184 ms
Client names published
None

Built for one client. Owned by that client.

Off-the-shelf copilots stop at the edge of your data, your controls and your audit trail. Ours start there.

  1. Custom, not customised.

    No templates and no forks. Every agent is designed around your workflow, your data and your definition of done.

  2. Secured by engineering.

    A dedicated AI security practice threat-models, red-teams and hardens every agent before it reaches production.

  3. Yours to keep.

    You own the code, prompts, weights and evaluations. Run it in your VPC, on-prem or on our managed stack.

  4. Measured, not claimed.

    Every agent ships with an evaluation harness built on your ground truth. If the metric does not move, it does not ship.

Security is an engineering discipline here, not a checklist.

Every FlowMo agent is built under one security practice, led by Sarfaraz Thakur, VP AI Security Engineer. The same controls apply to every client, every agent and every release.

Read our security practice

  • Inside your perimeter

    Agents run in your VPC or on-prem. Your data stays inside your boundary.

  • Zero retention, your keys

    Hosted models only on zero-retention tiers, under keys you hold. Client data is never used for training.

  • Red-teamed before release

    Prompt injection, jailbreak, data exfiltration and tool-misuse testing on every agent, every release.

  • Human approval gates

    Consequential actions wait for a named person to approve them. The agent proposes; your people decide.

  • A complete audit trail

    Every retrieval, decision and action is logged, attributable and reviewable by your risk and audit teams.

  • Scoped permissions and rollback

    Agents reach only the systems and records they need, with observability on every run and rollback built in.

Built for work that is regulated.

All industries

From first conversation to production in eight weeks.

How engagements work
  1. 1

    Diagnose

    Weeks 1–2

    An audit of the workflow, the data and the systems it touches, ending in a written brief you can act on with or without us.

  2. 2

    Prototype

    Weeks 3–4

    A working agent on your data in a sandbox, tested end to end by your own team before anything is hardened.

  3. 3

    Integrate

    Weeks 5–7

    The agent wired into your production stack, with permissions, guardrails, approval gates and observability.

  4. 4

    Operate

    Week 8 onward

    Weekly evaluations against your ground truth, retrospectives and a shared roadmap. We stay until the metric moves.

Tell us about the workflow.

We reply to every enterprise enquiry within one business day. Bring your security team; we will walk them through the architecture and every control.

Arrange a briefing Our security practice