How do you prevent hallucinations?

Every answer is grounded in retrieved documents with citations and confidence intervals. Unanswerable questions return 'I don't know' rather than guessing.

Can the platform handle multi-modal content?

Yes — text, PDFs, images, audio transcripts, and video frames are all indexable and searchable.

How do you keep the index current?

Connectors run on schedule and on change events; index updates propagate within minutes for most enterprise content sources.

AI / Proprietary LLM for Enterprise Knowledge

Proprietary LLM for Enterprise Knowledge

Q: Will our data ever leave our environment?

No. Our reference architecture deploys entirely in your VPC or on-prem, and self-hosted models mean no external API calls for sensitive content.

We engineer private RAG-grounded LLM platforms over your proprietary documents and data — running in your VPC or on-prem, citing every answer, and never leaking knowledge to public model providers.

Talk to a Solution Engineer View Case Studies

10M+

Documents indexed per cluster

<800ms

Cited answer median latency

Zero

External calls for sensitive content

Trusted by global innovators

Industry Overview

Proprietary LLM for Enterprise Knowledge: Engineered End-to-End

Generic chat tools are useful for personal productivity. Real enterprise value comes from grounded, governed AI built on your own knowledge — and that requires more than a vector database and an API key.

Industry Challenges

What Stops Most Teams From Solving This Today

Common friction points we hear from ai teams scoping this kind of platform.

Hallucination Risk: Off-the-shelf chatbots invent facts, and there is no way for users to tell the truth from confident fiction.
Data Privacy: Public LLM APIs cannot be trusted with sensitive corporate intelligence, IP, or regulated content.
Knowledge Drift: Static document dumps go stale; without active sync, answers grow inaccurate within months.
Adoption Failure: Without permission-aware retrieval and identity-aware UX, employees stop trusting the tool.

Our Approach

Our Engineering Approach

We engineer for the operational reality — not the demo.

Permission-Aware RAG

Retrieval respects user identity — employees only ever see answers grounded in documents they're authorized to read.

Citation-First Outputs

Every response cites the source document, page, and confidence — no answer without provenance.

Continuous Sync

Connectors keep the knowledge index current as your SharePoint, Confluence, and Drive content evolves.

Capabilities

Production-grade features the platform ships with from day one.

Document Connectors

Live sync from SharePoint, Confluence, Notion, Drive, S3, and custom sources.

Permission-Aware Retrieval

Identity-aware retrieval that mirrors your enterprise access controls.

Citation Engine

Every answer cites source documents with location and confidence.

Multi-Modal Search

Search across text, PDFs, images, audio, and video transcripts.

Custom Workflows

Embed AI into existing workflows: ticketing, sales tools, analyst desktops.

Model Choice

Self-hosted Llama and Mistral, or governed access to GPT and Claude.

Evaluation Harness

Continuous evaluation against gold-standard QA sets to catch quality drift.

Audit & Logging

Per-query, per-user audit logs aligned to internal and regulatory review.

How It Works

Reference Architecture

How data and decisions flow end-to-end.

Ingestion Layer

Connectors and parsers ingest enterprise content with identity metadata preserved.

Embedding & Index

Multi-modal embeddings with hybrid (dense + sparse) retrieval indexes.

Retrieval Pipeline

Permission-aware retrieval with reranking and source attribution.

LLM Layer

Self-hosted or governed-API LLMs with prompt and output controls.

Application Surface

Web, Slack, Teams, and embedded SDK experiences for end users.

Engineering Stack

Technology Stack

A pragmatic stack chosen for reliability, speed, and ease of operation.

LLM

LlamaMistralGPT-4AnthropicCohere

RAG Frameworks

LangChainLlamaIndexHaystack

Vector DB

QdrantWeaviatepgvectorPinecone

Infra

KubernetesvLLMTGIRay

Apps

Next.jsTailwindSlack SDKTeams SDK

Observability

LangSmithPhoenixOpenTelemetry

Measured Impact

Quantified outcomes from production deployments.

80%

Faster knowledge retrieval

100%

Cited, traceable answers

Zero

External API calls for sensitive docs

Continuous

Index sync across enterprise sources

Global Consulting Firm Internal Knowledge Assistant

A global consulting firm needed a knowledge assistant that could search and synthesize decades of internal reports without exposing client-confidential content. We built a private RAG platform deployed in their VPC.

The system handles over 10 million documents with sub-second retrieval, has reduced consultant research time by 80%, and is now used by 14,000 internal employees worldwide.

Case Study

Global Consulting Firm Internal Knowledge Assistant

Use Cases

Where This Earns Its Keep

Common deployment patterns we see across customers.

Internal Knowledge Q&A

Employee-facing assistants grounded in policies, playbooks, and prior work.

Sales Enablement

Field sales tools that surface deal-relevant context and competitive intel.

Customer Support Copilot

Agent-side AI that drafts responses grounded in your support knowledge base.

Research & Discovery

Analyst tools that synthesize across millions of internal documents.

Compliance & Policy

Policy lookup with citation for compliance and audit teams.

Product & Eng Docs

Engineering documentation search with code-aware retrieval.

Integrations

Integrates With Your Existing Stack

We connect to the systems your teams already know.

Documents

SharePointConfluenceNotionGoogle Drive

App Surface

SlackMicrosoft Teams

CRM

Salesforce

Identity

Okta

Compliance-First Development Services Backed by Global Standards

We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

General Data Protection Regulation

Implement lawful consent flows, data minimization, and secure processing for global data privacy.

Service Organization Control 2

Verified controls for security, availability, and confidentiality of enterprise data systems.

Information Security Management

Adhering to the international gold standard for managing information security risks.

Our Edge

Why Global Leaders Choose Us

We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

Enterprise-Grade Security

We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

High-Performance Scaling

Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

Accelerated Time-to-Market

Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

Embedded AI Integration

Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

Engagement Model

Predictable, structured delivery from kickoff through long-term ownership.

Discovery & Scoping

We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

Architecture & Pilot

A working slice on a representative environment — proving the data flow end-to-end before scaling.

Production Engineering

Hardened services, observability, access controls, and audit logging go live behind your IAM.

Operate & Iterate

We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

Voices of Success

We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

Aaron Phelan

Founder, Benchmark

"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

Kim Smith

Founder, My Lauren

"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."