Platform

Your AI, your rules

Agents, chatbots, and e-commerce assistants — deployed on your data, your infrastructure, live in under a week.

If it's digital, you can connect it.

What the platform does

Three core products plus extensions. One platform. Here's how they show up in real business work.

Product	What it does	Example uses
AI ChatbotsAnswerExplore chatbots	Answers grounded in your knowledge, with source citations your team can verify.	Customer support widget with citations Employee handbook Q&A (HR / IT / legal) Product & pricing lookups for sales Policy clarifications on demand
AI AgentsActExplore agents	Takes real action in Slack, Jira, Google Workspace, and any digital tool you use — with approval before every write.	Month-end reconciliation across accounting tools CRM updates after every sales call File management: route, rename, copy across drives Ticket creation and assignment in Zendesk / Jira
AI WorkflowsAutomateExplore workflows	Runs on a schedule or event — no human trigger. Bounded max-turns, full run history.	Nightly invoice reconciliation against policy Morning ticket triage drafted before the team starts Inbound email triage (support + sales) Onboarding drip sequences for new hires
ExtensionsExtendAdvancedExplore extensions	Pluggable expertise packages + secure code execution for specialist or one-off tasks.	Contract review skill (flags renewals, auto-renew clauses) Compliance audit skill (checks docs against frameworks) CSV analysis and automated report generation Document format conversion (PDF ↔ DOCX ↔ Markdown ↔ PPTX) Advanced: build new landing pages or internal microsites on demand

Your work not in the examples? The same patterns apply to any team that juggles multiple tools. Talk to us →

The products

Three ways to put it to work

The same platform underneath — the same connectors, the same knowledge, the same governance. What changes is how much you hand over.

Answer

AI Chatbot

Learns your documents, drives and wikis, then answers questions with the source attached. Deploys as a support widget, an internal knowledge base, or both. Nothing is written anywhere.

Cited answers, always
Renders charts and tables, not just text
Any model — swap without retraining

Explore the chatbot

Act

AI Agents

Works inside Slack, Jira, Google Workspace and the rest of your stack — creating, updating, scheduling and filing. Every write waits for a person to approve it first.

One agent per team, fully isolated
Signs in as the person, never a shared account
Pending → approved → executed, no exceptions

Explore agents

Automate

AI Workflows

The same assistant on a schedule or a trigger. Composes your connectors and knowledge into a repeatable process that runs without anyone starting it.

Manual, cron or email triggers
Bounded runs — no runaway loops
Every run replayable, task by task

Explore workflows

Extend

Skills and sandboxes

Installable expertise — contract review, compliance audits, format conversion — plus a locked-down sandbox for running code when a job needs it. Install once, available everywhere.

Skills install into a workspace like a package
Code runs isolated, one sandbox per chat
Custom skills built for your own processes

Talk to us about custom skills

The platform underneath

What every product shares — the ground every CTO scans for.

Reasoning & model choice

Model-agnostic by design

Pick the model that fits the workload — and swap it when something better ships. Per-workspace configuration for chat, search, and image generation. Extended reasoning when questions need depth. No retraining, no lock-in.

OpenAI

Anthropic

Google

AWS

Microsoft

Mistral

Governance & audit

Every action is approved, attributed, and logged

Pending → approved → executed on every write. The agent signs in as each person, not a shared service account — so every action is attributable. Workspaces are isolated end-to-end — the finance agent can't see HR data, the support agent can't touch customer records.

SSO via Entra ID, Okta, Auth0, Google Workspace, Keycloak
Full audit trail on every action, with replayable history
Per-workspace permission scopes and knowledge isolation
Configurable retention and data residency policies

Analytics & cost tracking

See what's working — and what it costs

See every conversation, every action taken, and every decision the model made — with cost tracked per workspace, per provider, per user. You know where budget goes and where to tune. Export everything to your reporting tools.

Full record of every conversation — what was asked, what was done, what was returned
Spend by model, workspace, and team
Budget caps and usage limits per workspace
Usage, deflection, and resolution dashboards out of the box

Deployment

Your infrastructure or ours

Run in our cloud for speed, or self-host on yours for sovereignty. Docker Compose for lightweight deployments, Kubernetes or AWS EKS for scale. Your data stays on your servers with configurable retention — the shape regulated industries need.

Docker Compose, Kubernetes, AWS EKS reference stacks
Run in your own cloud with private model connections
Configurable data retention and privacy rules per workspace
Live in under a week — we handle setup and onboarding

From kickoff to production in days

A proven deployment process that gets you live fast.

Connect your data

Upload PDFs, spreadsheets, and docs — or connect SharePoint, Google Drive, Notion, Confluence, and Jira directly. The platform ingests everything and re-syncs daily so answers stay current.

Configure your workspace

Choose your AI model, set the assistant's tone and behavior, define permissions, and connect the tools your team uses. Each workspace is isolated — separate knowledge, separate users, separate rules.

Deploy where it matters

Embeddable chat widget, standalone app, Slack, Teams, or API. Supports guest access, authenticated users via SSO, or anonymous mode. Your infrastructure or ours.

Monitor and optimize

Conversation analytics, cost tracking per provider, and deep tracing on every response. See what's working, what needs tuning, and where to cut spend.

Platform questions

Common questions about deployment, data, and integrations.

How long does deployment take?

Most deployments go from kickoff to production in under a week with zero involvement from your team — we handle workspace setup, knowledge base ingestion, connector configuration, and onboarding. Custom integrations or bespoke development are the only work that brings your team into the room.

What data sources can I connect?

Upload PDFs, Word docs, spreadsheets, and presentations directly — or connect SharePoint, Google Drive, Notion, Confluence, and Jira for automatic syncing. The platform also crawls web pages with configurable depth and re-syncs sources daily.

Can I use my own infrastructure?

Yes. The platform supports Docker Compose, Kubernetes, and AWS EKS deployment. Your data stays on your servers with configurable retention policies — ideal for regulated industries.

Which LLM providers do you support?

OpenAI, Anthropic, Google Gemini, DeepSeek, Mistral, and OpenRouter — configurable per workspace. You can switch providers at any time without re-deploying or re-training your knowledge base.

How does authentication work?

SSO with Microsoft Entra ID, Google Workspace, Okta, Auth0, and Keycloak. The embedded widget offers three modes: signed-in users, guest sign-up, or anonymous access.

What integrations are available?

If it's digital, you can connect it — Slack, Teams, Jira, GitHub, Google Workspace, Outlook, Zendesk, Harvest, Sentry, SharePoint, OneDrive, Redmine, and more. Agents don't just read from these tools — they take action inside them with approval workflows.