HumaneCircle helps teams build, release and operate AI agents and workflows safely. SafeLoop puts safety controls in the path of every request, tests each release before it goes live, and keeps the evidence your customers, security reviewers and regulators ask for.
For regulated teams in healthcare, financial services and life sciences, and for developers shipping AI apps. Hosted, in your cloud, or inside your own boundary.
ILLUSTRATIVE PRODUCT FLOW CONTINUOUS
PRODUCT UNITAI Application
versioned · deployed
✳Agent
◈Model
▤Corpus
⌘Tools
✓Safety decisionv1.2
Input and outputchecked
Releaseapproved
Evidencelinked
01 / THE IDEA
AI is moving into the work that matters most. Trust has to be built in, not bolted on.
Build. Release. Operate. One trust and safety loop.
SafeLoop follows each AI product through its whole life. The same purpose, controls and evidence travel with it from the first draft to every release after.
01 / BUILD
Assemble the AI product with safety in it
Bring your models, agents, data and tools into one inventory, with owners and versions.
Combine them into an AI Application with a stated purpose, audience and region.
Add guardrails, data classification and moderation suited to that purpose.
Ask Pogo, the built-in assistant, to set it up with you.
02 / RELEASE
Test it, see the gaps, approve it
Run evaluations and red-team attacks against the exact version you plan to ship.
A regulation checklist marks each requirement ready, to confirm or to fix, and names the control that covers it.
An independent reviewer approves the version, with the evidence attached.
Release it to a runtime cell: shared, dedicated or inside your boundary.
03 / OPERATE
Control every request, keep the proof
SafeRouter checks each input, output and tool call in the request path, most in under a millisecond.
Unclear cases escalate to a moderation model or a person, not a guess.
Every decision is recorded as evidence tied to the version that made it.
Stop an Application instantly, watch cost, and hand reviewers a report with its gaps.
COMPLEX WORKFLOWS
Agents act for people. Each step stays in bounds.
A real AI workflow is many steps: a user asks, an agent plans, calls tools, reads records and answers. SafeLoop governs every hop, not just the final reply.
01
◎
Scope
Each request carries a signed grant for one Application, one version and the user it acts for.
02
⌘
Authorize tools
Agents can only call the tools and data the Application was approved to use.
03
▦
Protect data
Sensitive data is classified and redacted before it reaches a model or leaves the system.
04
◇
Prove it
Every step leaves evidence, so reviewers see what happened, under which version, and what is still unknown.
PLATFORMAVAILABLE IN PILOTS
◉
The AI Application is the center.
Bring the models, agents, data and tools behind an AI product into one inventory, assemble them into a versioned Application, test and approve each release, and operate it with its evidence in one place.
SOLUTIONS
Built for the work where mistakes cost most.
Each industry brings its own data, rules and failure modes. SafeLoop starts from your product's purpose and applies the controls and checks that fit it.
HEALTHCARE
Patient-facing and clinical AI
Intake and triage assistants, care navigation, clinical documentation, prior authorization.
What can go wrong
Patient data reaching a model provider, unsafe dosing or diagnosis, missed crisis signals.
What SafeLoop does
Detects and redacts patient identifiers before they reach a model.
Keeps assistants within their clinical scope and adds care notes where needed.
Escalates self-harm and urgent cases to a helpline or a clinician.
Produces evidence for HIPAA security reviews and health-system procurement.
FINANCIAL SERVICES
Banking, cards and lending assistants
Card and account assistants, onboarding and KYC copilots, collections, advisor tools.
What can go wrong
Card and account data leaks, prompt injection, unexplained decisions, scams, exam findings.
What SafeLoop does
Redacts card numbers, account details and secrets on the way in and out.
Blocks injection and keeps assistants to approved products and actions.
Maps controls to a US consumer finance pack: complaints, fair lending review, model validation.
Records version approvals and evidence for model risk reviews.
LIFE SCIENCES AND DRUG DISCOVERY
Research and development agents
Literature and lab-data agents, protocol and regulatory writing, molecule design copilots.
What can go wrong
Proprietary data or IP leaving your boundary, dual-use misuse, untraceable results, audit gaps.
What SafeLoop does
Classifies proprietary research and trial data and controls which models may see it.
Adds biosecurity and dual-use guardrails to research assistants.
Runs inside your boundary when data cannot leave it.
Keeps a versioned, reproducible audit trail suited to GxP-style validation.
Building a startup in one of these spaces? Hospitals, banks and pharma partners will ask how your AI is controlled. We help you answer with evidence from day one.
Built your AI app on Lovable, Vercel, Replit or your own code? Point it at SafeLoop instead of straight at your model provider. Keep your model and your key.
Get started ↗Free during the beta. Paid plans from $7.89 a month.
Tell us what your app is for. Who uses it and where you ship it decide which checks apply.
Change one line. Swap your base URL and key. Works with the OpenAI SDK, the Vercel AI SDK and plain HTTP.
Try to break it. Run jailbreak, privacy, self-harm and age attacks against your app, with and without protection.
Ship with confidence. Get a safety report and app review notes, and help if Apple or Google pushes back.
We never store your users' messages. What we keep belongs to you, and you can export or wipe it any time. Safety tooling, not legal advice.
DEPLOYMENT
Run it where your data has to stay.
Keep building on the models and AI platforms you already use. SafeLoop works with OpenAI-compatible providers and self-hosted models.
01 / HOSTED
SafeLoop cloud
We run the platform and a shared runtime cell for you. The fastest way to start a pilot.
Shared or dedicated cell↗
02 / YOUR CLOUD
A cell in your account
The runtime runs in your cloud, next to your data and models, managed from SafeLoop.
Your network, our control plane↗
03 / INSIDE YOUR BOUNDARY
Sovereign and on-premises
The whole platform inside your boundary, with your identity provider and no outside calls.
Scoped with each customer↗
TRUST BY DESIGN
Know the decision. Know what shaped it.
We sell trust and safety tooling and the evidence behind it, never a compliance verdict. Your reviewers see the source, version, decision and the gaps that remain.
Each control decision belongs to a defined AI Application, version and deployment.
02
Evidence with provenance
Where an observation came from, when it happened, and which version it describes.
03
Explicit gaps
Unobserved paths, stale evidence and open findings stay visible to reviewers.
04
Human judgment
People approve releases and decide hard cases, with the evidence in front of them.
SAFE LAB
Try the safety layer on real requests.
Run SafeGuard, SafeRouter, SafeClassify and CostOptimizer on made-up samples, or ask Pogo to drive. Each run shows where it sits in a request's journey.
CHECKING AVAILABILITY
SafeGuard
Use made-up samples. Leave out personal data, credentials, confidential material and customer prompts. A reviewer should verify important decisions.
BUILD WITH US
Bring us the AI product you want to ship.
We work with healthcare, financial services and life sciences teams, and the startups that serve them, to take AI from pilot to production with trust and safety built in. Tell us what you are building.
Pilot conversations are scoped to a real product and deployment.