Moterra offers a private‑cloud generative AI platform that runs within a customer’s own cloud environment, enabling retrieval‑augmented generation over internal repositories such as SharePoint, Google Drive, and relational databases. The solution provides task‑specific assistants for knowledge search, content drafting, data analysis, and document comparison, all with role‑based access, audit logs, and compliance certifications (ISO 27001, GDPR, SOC 2).
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises need generative AI to automate knowledge work, but public AI services expose proprietary documents, lack business context, and cannot meet strict regulatory requirements such as GDPR, ISO 27001, or SOC 2. This forces organizations to rely on fragmented tools, manual searches, and costly custom development.
Solution
Moterra delivers a secure, private‑cloud AI platform that runs inside a customer’s own cloud perimeter, ensuring full data sovereignty. The platform connects directly to internal repositories (SharePoint, Google Drive, on‑prem file servers, relational databases, etc.) and uses retrieval‑augmented generation (RAG) with Anthropic Claude via Amazon Bedrock to produce context‑aware answers that are grounded in the organization’s own documents. A suite of task‑specific assistants—Internal Knowledge Assistant, AI Content Writing Assistant, AI Data Analyst, and AI Document Comparison—provides instant, citation‑backed responses, draft generation, analytics, and contract review while maintaining audit logs and role‑based access controls. Enterprise‑grade encryption, private‑link networking, and compliance certifications (ISO 27001, ISO 42001, GDPR, SOC 2 Type II) keep sensitive information protected, allowing regulated industries to adopt generative AI without compromising security or compliance.
Target Audience
Primary customers are mid‑size to large enterprises in regulated sectors—financial services, legal, insurance, and logistics—that require secure, compliant AI for knowledge work and data‑driven decision making.
Features
- Private‑cloud deployment (AWS VPC, Azure, GCP, or on‑prem) with AES‑256 at rest and TLS 1.3 in transit; customer‑managed KMS keys.
- Retrieval‑augmented generation (RAG) that indexes internal documents and databases, delivering answers with paragraph‑level citations and audit trails.
- Four built‑in assistants: knowledge search, content drafting, data analysis (natural‑language queries, auto‑generated charts, predictive models), and document comparison (clause‑level diff, compliance flags).
- Deep integrations with Microsoft 365 (SharePoint, Teams, Outlook), Google Workspace (Drive, Gmail), Jira, Confluence, Salesforce, Slack, and other enterprise apps.
- Role‑based access control and permission mirroring to ensure users see only authorized data.
- Usage‑insights dashboard for adoption tracking, cost monitoring, and ROI reporting.
- Optional add‑ons: multilingual document translation, custom AI agents, and advanced data pipelines.