Build a Perplexity-like AI
on your data,
in your environment.†
We build production-grade Retrieval-Augmented Generation (RAG), and turn your proprietary data into a powerful, accessible knowledge base for your organization or customers.
Our proven approach: New to RAG? →
The Executive Case for Production RAG
Go beyond impressive demos. A production RAG system delivers audited answers grounded in all your enterprise data—text, tables, and images—creating competitive advantage while reducing risk.
Verifiable Answers
Every answer cites its sources, satisfying legal and compliance teams and building user trust.
Data Sovereignty
Deploy on-prem, in a private cloud, or in your VPC. You own the keys and the controls.
Multi-Format Intelligence
Go beyond text. Analyze images, tables, and scans for fraud detection, signature verification, and more.
Domain-Specific Tuning
Fine-tuned retrievers, rerankers, and LLMs learn your jargon—off-the-shelf can't match it.
From Demo to Reality: Why Enterprise RAG is Hard
A POC on a clean dataset can look great. At enterprise scale, the real challenges begin. The new competitive baseline is agentic, iterative retrieval and synthesis at scale—and it introduces real challenges that stop most projects.
Messy, Multi-Format Data
Real content is full of duplicates, versions, tables, images, and scans.
Scale & Performance
Millions of docs + thousands of users require sharding, caching, and optimization.
Security & Permissions
Results must respect ACLs and entitlements at query time. No exceptions.
Deep Domain Adaptation
Retrievers, rerankers, and LLMs need tuning for your jargon and workflows.
Evaluation & Feedback
Measure groundedness, accuracy, latency, and user trust—continuously.
Lifecycle Management
Data refresh, model monitoring, and rollback plans are essential.
The Path to Deep Research Readiness
Our Enterprise RAG Tiers Framework is your roadmap from foundational data cleanup to agentic, multi-format analysis—the capabilities required for true deep research.
Foundational
Unified, governed knowledge base with clean, structured data foundation.
Enterprise-Grade
Total knowledge access across any format with scalable infrastructure.
Domain-Optimized
Systems that speak your language with specialized terminology and workflows.
Deep Research
Agentic systems for multi-step analysis with autonomous reasoning capabilities.
RAG in Action: Transforming Industries
We deliver RAG solutions that solve critical business problems across industries.
Pharma & Life Sciences
Clinical trial search, SOP Q&A, regulatory intelligence.
Legal & Compliance
Clause search, case-law co-pilots, auditable risk assessments.
HR & Policy Portals
Employee handbook Q&A, benefits comparison.
Customer Support
WhatsApp, web, or portal assistants grounded in your KB.
RFP & Bid Automation
Search past bids, auto-draft responses with citations.
Workplace Search
Search across docs, wikis, tickets, and email archives.
The Engine, Not Just the Interface
A "chatbot" is the interface your user sees. RAG is the engine behind it—retrieving facts, generating accurate answers, and providing citations.
We build the mission-critical RAG engine first, then deliver it through the interfaces your users actually need.
Common Interfaces We Deliver
- Chat UI: Web app (Chatbot), Slack, or Microsoft Teams.
- Intelligent Search: Synthesized answers with citations—not just ten blue links.
- Embedded Co-pilot: Assistants inside portals, CRMs, and line-of-business apps.
- Voice & Call Center Assist: Real-time retrieval for agents.
Deployment options
Evaluation & governance are built in—groundedness, latency, and ROI tracked continuously.
3rd-party API LLMs
OpenAI/Anthropic/Gemini via API—fastest path to value.
Private vendor LLM (VPC)
Vendor-hosted model in your cloud account for data control.
On-prem OSS LLM
Mistral/Qwen class models with vLLM; full sovereignty.
Your Questions, Answered
Can we keep our data fully private?
Yes. Our default is a sovereign deployment. We run on-prem or in your own cloud account with customer-managed keys and full audit logs.
Why is Vespa.ai the preferred engine for RAG?
Perplexity, the leading example of web-scale RAG, is powered by Vespa.ai—a testament to delivering high-performance, large-scale RAG that handles massive corpora and complex queries at low latency.
Which LLMs do you support?
We're model-agnostic: API LLMs (OpenAI/Anthropic/Gemini), private vendor LLMs in your VPC, or on-prem OSS models (Mistral/Qwen) via vLLM.
How do you measure success?
Eval harness with groundedness, task completion, latency, and ROI baselines—agreed up front.
Ready to build a Deep Research engine your business can trust?
Let's map your use case to our RAG Tiers and scope a focused, high-impact engagement.
† Disclaimer: This solution is inspired by industry-leading RAG technology, like Perplexity, ChatGPT with Web Search, or Deep Search capabilities, but is not affiliated with any of these companies.