Retrieval-Augmented AI for Enterprise
Automate knowledge access, eliminate research bottlenecks, and turn regulatory complexity into instant answers. Our RAG systems help teams move faster and smarter, without unnecessary overhead.

From Static Documents to Strategic AI
RAG-Powered Transformation

Multi-Source Retrieval
- Search and reason across regulatory filings, contracts, policies, and internal wikis
- Index PDFs, spreadsheets, HTML, and scanned docs for long-context retrieval
- Normalize messy data so every answer is grounded in your content
Domain-Aware Reasoning
- Embed industry glossaries and taxonomies directly into responses
- Integrate regulatory schemas and compliance thresholds
- Handle noisy OCR, scanned contracts, and legacy content with confidence

Real-Time Decision Support
- Ask natural language questions about deals, trials, or policies
- Receive cited answers linked to source document passages
- Validate reasoning chains and surface contradictions instantly

Enterprise-Ready Orchestration
- Granular access controls and content scoping for sensitive data
- Deploy in your cloud (AWS, Azure, GCP) or on-premises
- Auditable responses with citations and source links by default

We Integrate RAG into Your Systems
We don’t just give you another chatbot—we connect directly to your backend systems and deliver a secure, enterprise-grade chat assistant powered by Retrieval Augmented Generation (RAG). The assistant instantly accesses your content and knowledge bases, giving your team accurate, context-aware answers in real time.
Unlike big-ticket vendors, we deliver at a reasonable budget with dedicated support. From first integration to daily use, you’ll have experts on call to ensure your copilot works seamlessly inside your environment.
- Best in Class Models: Choose from 20+ models—including Claude, ChatGPT, Perplexity, Grok, and Gemini—to balance speed, accuracy, and cost.
- Security First: Data stays protected. The assistant connects to your systems securely and respects enterprise compliance requirements.
- Enterprise Ready Workflows: Integrate with monday.com, Notion, Google Workspace, HubSpot, and more so AI operates where your teams already work.
- Dedicated Support, Predictable Cost: Implement quickly, get hands-on help, and keep budgets transparent—no surprises.
Frequently Asked Questions
RAG combines large language models with vector search over your organization’s content. Instead of hallucinating, the system pulls evidence directly from your documents to provide grounded, explainable results.
We build domain-tuned RAG pipelines with secure ingestion, retrieval optimization, and custom prompting tailored to enterprise workflows—far beyond a generic chatbot experience.
Yes. We connect to SharePoint, Confluence, Documentum, custom APIs, S3, Google Drive, and more. We also support Model Context Protocol (MCP) integrations for admin-governed control and auditing.
We support both customer-hosted and fully managed deployments. For regulated industries, we recommend your own VPC or on-prem infrastructure.
Core clients operate in life sciences, finance, legal, consulting, and manufacturing, but the architecture is sector agnostic.
No. We support multi-model routing to balance accuracy, latency, and cost across the best-in-class LLMs.
Unlock Your Data
Deploy internal copilots that retrieve, reason, and respond securely across your most sensitive documents.