We make your company's data actually answerable.
We make your company's docs, contracts, support history, and internal wikis actually searchable and answerable in plain English, deployed on your data in 2 weeks, fixed price.
Based on the Acme Corp Master Services Agreement (v3), I found two primary risks:
- Liability Cap: The liability cap is fixed at $50,000, which is unusually low compared to our standard $500,000 cap.
- Termination Clause: It requires a 90-day notice period instead of our standard 30-day notice.
Ready-to-Deploy Connectors
We connect directly to your existing data silos. No manual data cleaning required. We ingest, parse, and make it answerable.
Internal Wikis & Docs
Turn scattered Google Docs, Notion pages, and Confluence wikis into a single source of truth. Your employees can finally find what they need instantly.
Support Ticketing Systems
Ingest thousands of past resolved tickets to empower your support team with instant historical context.
Contract Databases
Transform dense PDFs and unstructured contracts into queryable plain English data points.
Construction & Engineering
Ingest massive blueprints, site reports, and RFIs to make terabytes of spec data instantly queryable.
Visualise the Agentic Pipeline
Gain deep insights into how our agents reason through your data. Look inside the execution pipeline to debug routing and logic.
Agent Routing
See exactly which document clusters the AI chose to route its query to.
Reasoning Trace
Identify how the agent broke down a complex question into sub-queries to query different databases.
Final Synthesis
Watch as it stitches isolated data points back into a single plain-English answer.
The Core Comparison
Understanding the fundamental difference between fragmented standard RAG and intelligent Agentic parsing.
"Dumb" Text Retrieval
Most AI apps use standard vector databases. They treat human conversation like a scattered pile of sticky notes.
If a user asks, "What did we discuss about Python?", a standard system just searches for matching keywords and returns fragmented, isolated quotes:
"I like Python."
"Python has pandas."
"FastAPI is great."
Your AI gets the words, but completely loses the context of why they were said.
Multi-Step Agentic RAG
We built a multi-agent system that mimics human research. Instead of looking for keywords, our autonomous agents read the data, realise they need more context, and launch follow-up queries.
If an agent finds a policy document, it doesn't stop. It cross-references it with recent employee handbooks to give you the fully updated picture.
Why Developers Choose Us
Automated Data Connectors
We pipe data straight from Zendesk, Confluence, Jira, and Slack. No custom coding needed.
Complex Reasoning
Agents can self-correct. If they query your database and get an error, they rewrite the query and try again.
Security-First Routing
Our access-control pipeline ensures employees only ever query data they have permission to see.
Fixed Price Peace of Mind
No runaway cloud costs or API billing surprises.
Technical Architecture
A schematic overview of our retrieval-augmented generation pipeline.
Data Ingestion
Your internal docs are parsed, embedded into vectors, and synced locally to our highly optimised database.
Agent Router & DB
High-speed vector search maps questions to the specific files, documents, and ticketing history necessary.
Plain English Output
A sophisticated LLM synthesises the fragmented text into a direct, cited, actionable answer.
Request Early Access
Enterprise RAG is currently in private beta. Join the waitlist to deploy custom intelligence on your data.
We'll keep you updated on development progress and beta availability.
We build AI that answers you, but we built a database that can't leak you.
Enterprise data is sensitive. Your company's HR documents, legal contracts, and internal IP should never be used to train public models. Instead, we use an Encrypted-at-Rest deployment model. Your data stays within your controlled perimeter.
Enterprise Guardrails
We deploy directly into your cloud (AWS/GCP/Azure) or use our strict SOC2-compliant managed service. You always hold the keys.
Zero Model Training
We strictly guarantee that your proprietary company documents are never used, monitored, or saved into the neural weights of the foundation models.
AES-256 Encryption
Before your conversation is saved to your long-term memory profile, it is locked using AES-256 Application-Level Encryption. This means by the time your data hits our database, it is completely scrambled.
Frequently Asked Questions
Everything you need to know about our universal memory infrastructure.
Is my data truly private?
Yes. Our local version of the memory service is designed for privacy-first deployment. Your data never leaves your infrastructure, ensuring complete sovereignty and security.
How does it differ from standard RAG?
Standard RAG is often stateless. Our universal memory provides a persistent context layer that allows you to visualise your AI agent's memory and track/debug performance issues by searching exactly where the AI diverged off track.
How does the 2-week fixed price deployment work?
We scope your data sources on day 1. By day 14, we deliver a production-ready Agentic RAG system perfectly tuned to your documentation and ticketing systems. No hourly billing, no surprises.
What data sources can you ingest?
Confluence, Notion, Zendesk, Google Drive, PDFs, Slack, Jira, and structured databases. If it's text-based and has an API, we can ingest it and make it searchable.
Can I integrate this with my existing SaaS tools?
Absolutely. We provide a REST API that lets you build internal chat tools or public-facing support bots using your customised Agentic RAG logic.
Is my data used to train the base model?
No. We guarantee your proprietary company data and history are never used to train the underlying foundation models. Your data remains strictly within your isolated vector index.
Transparent, Scale-Ready Pricing
Choose the tier that fits your growth. From individual developers to enterprise-grade security.
One-Time Fixed Deployment
We don't charge SaaS tiers. We build a production-grade Agentic RAG pipeline directly on your infrastructure in 2 weeks.
- Custom Data Connectors
- Multi-Agent Routing Logic
- Enterprise Vector Build
- Security & Access Control mapping
- Day 1: Data Scoping
- Day 7: Pipeline Alpha
- Day 14: Polish & Handover
- Post-Handover: 30 days support