One platform. Purpose-driven AI for every team and every agent.
Aimable gives your teams and their AI agents workspaces that understand context, draw from verified knowledge, and apply the right rules — automatically. Same governance, whether a person is chatting or an agent is calling the API.
Three building blocks
Spaces
Purpose-driven AI environments. Configure models, tools, guardrails, and knowledge per team. AI behaviour adapts automatically to the workspace purpose.
Collections
Verified knowledge bases that your teams own and maintain. AI-assisted curation, source citations on every answer.
Policies
What's enforced. Personal and company data redaction, guardrails, access control, compliance rules — applied equally to humans and agents. No exceptions.
A Space understands what you're trying to do
When you work in the Sales space, AI automatically draws from sales knowledge, applies sales-appropriate guardrails, and routes to the right model — because the space defines the purpose.
| Space | Purpose | Knowledge | Models | Data Protection |
|---|---|---|---|---|
| Sales | Pricing updates, prospect research | Product catalogue, pricing docs | GPT-4o, Claude | Automatic |
| Legal | Contract drafting, policy queries | Case law, firm policies | Claude, Gemini | Human-in-the-loop |
| HR | Employee onboarding, policy Q&A | HR handbook, benefits docs | GPT-4o | Automatic |
Answers grounded in your verified knowledge
Curated, team-managed knowledge bases
Collections are not just file storage. They are structured, searchable, and cited knowledge bases that your teams own and maintain. Every answer traces back to a verified source.
AI-assisted curation keeps content current — flagging outdated documents, suggesting improvements, and scoring quality so your knowledge base stays reliable over time.
Hybrid search (BM25 + semantic vector)
Combines keyword precision with meaning-based retrieval for accurate results every time.
Source citations on every answer
Every AI response links back to the documents it drew from, so your team can verify and trust the output.
AI-assisted curation and quality scoring
Automatically identifies stale content and surfaces quality issues to keep your knowledge base reliable.
Shared across Spaces or kept private
Control who accesses what. Share Collections across teams or keep them scoped to a single Space.
Built on a compliance foundation you can prove
Your data is safe
- Personal and company data redaction (multilingual, round-trip)
- Local models for high-risk Spaces
- Full audit trail
- Guardrails engine
Your answers are right
- Curated Collections
- Hybrid search
- Source citations
- AI-assisted curation
GDPR Compliant
EU AI Act Ready
ISO 27001 In progress*
SOC 2 Type II In progress*
Two ways to deploy
Your Environment
Deploy in your own cloud (AWS, Azure, GCP) or on-premise data centres. Your infrastructure, your rules. Air-gapped options available.
Aimable Cloud
We host and manage a dedicated, single-tenant environment. EU-hosted, fully isolated, zero raw-data egress.
Both options: 2-6 weeks to production. Both options: you control access, policies, and data sovereignty.
Connect your workflows
OpenAI-compatible API. Drop in Aimable wherever you use AI — same governance, same guardrails, same audit trail.
Drop-in replacement
OpenAI-compatible API. Works with n8n, Make, Zapier, or custom code.
Space-scoped API keys
Every API call inherits the Space's purpose, knowledge, and rules.
Usage tracking
Cost visibility and usage analytics per Space, per team, per model.
See Aimable in action
Book a demo to see how Spaces, Collections, and purpose-driven AI work for your team.