Aimable offers an enterprise‑grade generative AI platform that operates behind the organization’s security perimeter, accessing only internal document stores and automatically redacting personally identifiable information before model inference. The system returns answers linked to exact source citations, logs every interaction in a tamper‑evident audit trail, and supports multiple LLM providers with deployment options ranging from EU‑hosted SaaS to on‑premise installations.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise employees frequently turn to personal AI tools such as public ChatGPT to accelerate work, which exposes confidential documents, personal data, and proprietary knowledge to external services. This “shadow AI” creates invisible compliance gaps, audit‑ability issues, and regulatory risk under GDPR, the EU AI Act, DORA, and similar frameworks.
Solution
Aimable delivers an enterprise‑grade generative AI platform that runs behind the organization’s security perimeter and accesses only internal document repositories. The system automatically redacts personally identifiable information before any prompt reaches the language model, then returns answers enriched with citations to the source files. All interactions are logged in a tamper‑evident audit trail that can be exported for regulatory reporting. The platform supports multiple leading LLM providers (GPT‑4, Claude, Gemini, or open‑source models) without code changes, and can be deployed in EU‑hosted cloud, customer‑managed cloud, or on‑premise environments to satisfy data‑sovereignty requirements. A ready‑to‑use chat interface (Spaces) and a low‑code API/SDK enable rapid rollout of custom AI applications while preserving governance controls.
Target Audience
The primary customers are regulated enterprises—banks, insurers, legal and compliance departments, HR teams, and energy or aerospace firms—that need secure, citation‑backed AI over internal knowledge bases, as well as platform and CTO teams building custom AI workflows.
Features
- Real‑time PII detection and redaction pipeline that strips names, emails, IDs, and financial data before model inference.
- Source‑document citation engine that links each answer to the exact file, section, and line number in Google Drive, Microsoft 365, SharePoint, or on‑prem file shares.
- Multi‑model routing layer allowing seamless switching between GPT‑4, Claude, Gemini, or self‑hosted open‑source models via a unified API.
- Zero raw‑data egress architecture with end‑to‑end TLS encryption, role‑based access control, and isolated tenant environments hosted in the EU.
- Comprehensive audit and observability suite: per‑prompt logging, real‑time usage dashboards, policy‑violation alerts, and instant compliance report generation.
- SDKs and REST APIs for developers to embed AI capabilities into internal tools, with built‑in guardrails and policy enforcement.
- Deployment flexibility: EU‑hosted SaaS, customer‑managed cloud (AWS/Azure/GCP EU regions), or air‑gapped on‑prem installations for highly regulated sectors.