We build software for teams that need assistants grounded in their own policies, docs, and systems—not generic chat that improvises answers. One platform spans customer experiences, internal copilots, and operations workflows so you govern models, knowledge, and channels in a single workspace.
Plays alongside stacks teams already run (15)
Logos use the same proxied brand marks as the connector catalog; third-party names belong to their owners.
Mission
We focus on retrieval, clear handoffs, and controls—so AI augments how you already work instead of inventing policies or workflows from thin air.
Answers should cite what you approved: handbooks, help centers, CRM fields, and connector-synced wikis—not whatever the model guessed.
Roles, API keys, data settings, and analytics live in one place so IT and security can review FlexyAgents like any other business system.
We bias toward shipping working agents quickly—then using conversation signals to fix docs, policies, and automations that still drive volume.
Product
A control plane for conversational agents: models, knowledge, channels, automations, and APIs—whether you serve customers, employees, or both.
Start from presets for support, FAQ, booking, internal copilots, and more—then tune prompts, tools, and knowledge scope per assistant.
Uploads, crawls, Q&A pairs, and scheduled sync from dozens of connector families keep retrieval aligned with systems of record.
Web widget and hosted help first; expand to Slack, Teams, email, SMS, and messaging as your plan unlocks those integrations.
Trigger webhooks, notify channels, or POST to your stack when conversations reach defined states—plus HTTP chat for custom UIs.
Solutions
Most organizations begin with one high-friction loop—then expand once retrieval and governance feel predictable.
Deflect repetitive tickets with answers tied to Zendesk-style knowledge, crawled docs, and clear escalation rules.
Give HR, IT, and operations a copilot scoped to policies and runbooks—without mixing in customer-facing corpora.
Walk visitors through services, policies, and confirmations before automations update calendars and CRM fields.
Technical Support–style agents stay inside retrieved specs and procedures—ideal for developer portals and solutions engineers.