A generic chatbot guesses and gets you complaints. We build assistants grounded in your knowledge, connected to your systems, and wrapped in guardrails — so they resolve real requests, cite their sources, and hand off to a human when they should.
Grounded enterprise assistant
volume handled by one team
every answer traces to a source
web, Slack, Teams, WhatsApp
escalation on sensitive flows
What makes an assistant enterprise-grade
The four things that separate an assistant you'd trust with your brand from a chatbot that invents policy.
Retrieval over your docs, policies and data so answers are yours and verifiable — with citations, not guesses.
Function calling under permission rules, output validation, and 'I don't know' instead of confident nonsense.
Sensitive or low-confidence conversations escalate to a person, with full context — automation where it's safe, oversight where it matters.
One assistant across web, app, Slack, Teams and WhatsApp, with a consistent voice and a single source of truth.
How we build it
A path that puts trust and safety first — because one wrong answer in public costs more than a hundred right ones earn.
We index your documents, policies and data into a retrieval layer so the assistant answers from your truth, not the internet's.
Decide what the bot may do, scope the permissions, and wire the tools it can call to actually resolve requests.
Add grounding, validation, confidence thresholds and human escalation so it's safe to put in front of customers.
Launch across your channels with analytics on resolution, deflection and escalation — then tune on real conversations.
Grounded AI, at scale
A public-interest news network needed to extend a small team's reach without sacrificing accuracy. We built grounded, fully-cited generation with a human reviewing every piece — the same trust architecture that makes an enterprise assistant safe to ship.
CivicWire
Regional public-interest news network · 38 newsrooms
More coverage handled
Teams / newsrooms served
Cited & human-reviewed
Topic now covered
“We weren't trying to replace journalists — we were trying to cover meetings we'd been forced to abandon. Now every claim is cited, every story is edited by a human, and our reporters spend their time on the work that actually needs a reporter.”
Straight answers
A basic chatbot guesses from generic training data. Ours is grounded in your knowledge base and connected to your systems, so it answers from your real policies and data, cites where it got the answer, and can take actions — look up an order, file a ticket — under your permission rules.
Retrieval grounding ties every answer to your sources, output validation catches off-policy responses, the bot is allowed to say 'I don't know' and escalate, and sensitive flows route to a human. It's built to be trustworthy in front of customers, not just demo-friendly.
It can act. Through function calling it can query your systems and trigger workflows with the right guardrails and audit trail — turning the assistant from an FAQ into something that resolves the request.
Wherever your users are: your website or app, Slack, Microsoft Teams, WhatsApp, or an internal tool. One grounded brain, many channels.
Yes. It runs inside your environment or a private boundary with access controls, PII handling, and a full audit log of what was asked, answered and done. Your data isn't used to train external models.
Tell us what it should answer and do. We'll come back within 24 hours with a grounded design, a safety plan, and a timeline.
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