Securely connect your data and empower teams to work smarter, faster, and more efficiently.
Features
- Internal Knowledge Assistant — Enterprise search tool that connects directly to SharePoint, Google Drive, or on-premise servers to deliver context-aware answers with citations from your own documents. Instead of keyword-based searches, it provides intelligent responses grounded in your actual business data with role-based access controls ensuring only authorized personnel see relevant information.
- AI Content Writing Assistant — Draft proposals, reports, and emails up to 70% faster while maintaining GDPR and ISO compliance. The assistant reuses templates and past documents to ensure consistent style and tone across all communications. All content creation happens within your private cloud environment, ensuring data never leaves your control.
- AI Data Analyst for Business — Ask complex business questions in plain language and receive instant answers with visualizations and insights. Handles Excel files, databases, and exports with 10,000+ rows without formatting requirements. Spots trends, suggests follow-ups, and transforms raw data into actionable summaries—no SQL skills or dedicated analysts required.
- AI Document Comparison for Business — Compare contracts, policies, or RFPs in seconds with detailed change tracking, non-standard clause flagging, and source linking. Supports Word, PDF, and scanned files with OCR capabilities. Legal, compliance, and procurement teams can cut review times while maintaining complete audit trails for regulatory compliance.
- Agent Builder (No-Code) — Build custom AI agents for unique business workflows without coding expertise. Design agents with specific context, style, and instructions tailored to business requirements—from formal compliance tone to friendly customer communication. Connect agents to existing systems, equip them for multi-step processes, and share proven workflows across teams instantly.
- Enterprise-Grade Security & Compliance — All processing occurs within your private cloud perimeter with AES-256 encryption at rest, TLS 1.3 in transit, and customer-managed encryption keys. Certified for ISO 27001, ISO 42001, SOC 2 Type II, GDPR, and DORA compliance. Data never traverses public networks, ensuring complete data sovereignty and meeting strictest regulatory requirements for financial services, insurance, and healthcare industries.
Use Cases
Financial Services Document Analysis & Compliance
Financial institutions use Moterra to analyze contracts, compare policy documents, and ensure regulatory compliance. The AI Document Comparison tool flags non-standard clauses in loan agreements and insurance policies, while the Data Analyst processes financial datasets to identify trends and risks. All processing happens within the institution's secure cloud environment, meeting GDPR, DORA, and SOC 2 requirements. Target Audience: Banks, insurance companies, investment firms, and financial compliance teams
Enterprise Knowledge Management & Employee Productivity
Organizations deploy Moterra's Internal Knowledge Assistant to centralize institutional knowledge scattered across SharePoint, Google Drive, and legacy systems. Employees ask natural language questions and receive cited answers from company documents, saving approximately 1 hour per day per employee. The platform achieves 75%+ adoption rates as teams replace multiple scattered AI subscriptions with one unified, secure platform. Target Audience: HR departments, operations teams, and enterprise knowledge managers in mid-to-large organizations
Legal & Procurement Contract Review Automation
Legal and procurement teams use Moterra to compare contracts, RFPs, and policy documents in seconds rather than hours. The system highlights changes between document versions, flags non-standard clauses, and provides full audit trails linking back to source documents. Works with Word, PDF, and scanned files, enabling teams to maintain compliance while dramatically reducing review cycles. Target Audience: Corporate legal departments, procurement teams, and compliance officers
Business Intelligence Without Technical Barriers
Business analysts and department managers use the AI Data Analyst to ask questions in plain language about Excel files, databases, and exports. The tool handles 10,000+ rows effortlessly, generates visualizations, spots trends, and provides actionable summaries without requiring SQL knowledge or dedicated data analysts. Teams gain autonomous access to business intelligence that previously required days of specialist work. Target Audience: Business analysts, department managers, and operations teams seeking data-driven insights without technical expertise
Pros
- Complete data sovereignty with all AI processing occurring within the customer's private cloud environment—data never leaves their control and is never used for external model training, eliminating the privacy risks associated with public AI platforms like ChatGPT or Microsoft Copilot.
- Enterprise-grade security certifications including ISO 27001, ISO 42001, SOC 2 Type II, GDPR, and DORA compliance, with AES-256 encryption and customer-managed encryption keys, making it suitable for highly regulated industries like financial services, insurance, and healthcare.
- Unified platform replacing multiple scattered AI subscriptions with specialized assistants for knowledge search, content creation, data analysis, document comparison, and custom agent building—reducing vendor management complexity and total cost of ownership.
- Rapid time-to-value with setup taking days rather than months, guided onboarding with dedicated AI specialists, and built-in usage insights dashboard for tracking adoption metrics, monitoring costs, and demonstrating ROI from day one.
- Grounded AI responses with citations and audit trails that eliminate hallucinations common in generic AI tools—every answer is traceable to source documents, enabling compliance verification and building organizational trust in AI outputs.
Cons
- Requires existing cloud infrastructure (AWS, Azure, or similar) for deployment, which may present challenges for organizations without established cloud environments or those with limited IT resources for initial setup and configuration.
- Enterprise-focused pricing model may not be accessible for small businesses or startups with limited budgets, as the platform is designed for organizations requiring enterprise-grade security, compliance, and scalability.
- Integration complexity with legacy systems or on-premise infrastructure may require additional configuration time and technical expertise, particularly for organizations with fragmented or outdated document management systems.
- Limited public pricing transparency requires contacting sales for quotes, which can slow evaluation processes for organizations accustomed to self-service SaaS purchasing and immediate pricing visibility.
