Turn your enterprise knowledge into
AI-powered answers your team can trust.
Unlock the intelligence trapped inside your PDFs, sheets, Sharepoint, and databases. We construct highly-engineered RAG pipelines that deliver answers in seconds, with strict permissions security and verified citations.
Multi-Source Ingestion & Grounding Pipeline
Click Ingest on the top-right to submit prompt query.
The Quiet Cost of
Scattered Knowledge
Most enterprises sit on a decade or more of accumulated knowledge — SOPs, contracts, policies, research, manuals, training materials, support tickets, meeting transcripts, emails. The information your team needs to make decisions every day is already there. It just isn't reachable.
The cost shows up quietly, everywhere. New hires take months to ramp up. Support agents put customers on hold to dig through wikis. Sales reps rebuild proposals from scratch because they can't find the last good one. Compliance teams scramble during audits. And when senior people leave, their context leaves with them.
Traditional search doesn't solve this — keywords don't understand questions. Generic chatbots don't solve this — they hallucinate when they aren't grounded in your data. What works is a retrieval layer that reads across every format, finds the right passage, and answers with the source attached.
That is what we build.
Average amount of time spent by engineers manually searching through archaic wikis, ticket histories, and team silos instead of shipping high-impact code.
Wasted Engineering Cycles
Engineers spending 25% of their day manually digging through archaic, nested wikis and Slack logs instead of shipping code.
Glacial Team Onboarding
New hires taking 4–6 months to reach peak autonomy due to lack of a central, semantic intelligence layer that knows company systems.
Tribal Knowledge Rot
Critical business decisions stalling or relying on guesswork when core staff exit and operational memory remains untraced.
The Hallucination Nightmare
Standard LLM search bots confidently generating false legal details or incorrect product limits, endangering regulatory compliance.
Data Permissions Collapse
General search index tools leaking confidential executive salary sheets or payroll metrics to unauthorized staff segments.
Complex Layout Blindness
Simple out-of-the-box vector parsers completely scrambling complex corporate spreadsheet structures and scanned warranty PDFs.
Production-Grade RAG Infrastructure
We bypass simple templates and engineer robust, enterprise-secure pipelines designed for 99%+ accuracy and high volume ingestion.
Multi-Format Layout Parsing
Naive text extraction loses structure. We decompose complex PDFs, tables, diagrams, and transcripts into precise hierarchical segments prior to embedding.
Hybrid Sparse & Dense Engine
Combining deep-learning vector semantics with exact keyword index match (BM25) to catch contextual matches and direct SKU search flawlessly.
Enterprise Access Mapping
Inherits user security scopes straight from Salesforce, Azure AD, or SharePoint. Users can only query documents they are strictly authorized to view.
Dual-Pass Grounding Verification
Automated dual-pass evaluator audits each LLM response against the source nodes. Any response that scores below the 95% faithfulness index triggers automatic revision.
Enter the Era of RAG 2.0
Moving beyond simple vector searches. We build reasoning systems that synthesize, deduce, and execute across multiple files and systems.
Plain vector queries with simple top-k lookup. High hallucination risk.
Metadata tagging + keyword match. Better accuracy, but low contextual reasoning.
Multi-agent loops that plan, verify citations, and fetch live tool state dynamically.
Semantic graph relationships mapping across all documents. Deep structural queries.
GraphRAG & Knowledge Maps
We build semantic maps linking corporate terms. Ask complex queries like *"What contracts are impacted by our Q3 compliance update?"* and get fully synthetic multi-document answers.
Agentic Reasoning Loops
Our systems don't just search once. They run iterative planning loops, execute database calls, analyze results, self-correct, and verify claims recursively.
Multimodal Core Processing
Unstructured data goes beyond raw text. We embed layouts, scanned invoices, complex product charts, spreadsheets, and meeting audio recordings into unified searchable indices.
If your team uses it, we can parse it.
No complex manual exports required. We deploy background pipeline maps that automatically read, chunk, and index live updates safely inside your cloud perimeter.
Unstructured Contracts & PDFs
SOPs, vendor agreements, legal policies, research catalogs, scanned mechanical manuals.
Dynamic Spreadsheets & Tables
Financial reserve sheets, product limit matrixes, inventory ledgers, structured CSVs.
Corporate CRMs & Databases
Salesforce account logs, support ticketing history, PostgreSQL/MongoDB records.
Emails & Exchange Logs
Customer communication logs, vendor exchanges, historical transaction chains.
SharePoint & Internal Wikis
Confluence team directories, engineering wikis, HR policies, security guidelines.
Slack & Teams Comms
Historical discussion archives, support channels, client resolution boards.
"If your team uses it to reference daily work, our pipeline will parse and vectorize it with citation mapping."
Experience Grounded Citation Answers
Click a corporate role below to trigger a typical prompt query, watch the grounding evaluation execute, and check citations in the slide-out drawer.
Why Nanostuffs RAG Engineering?
We operate as an elite engineering team delivering custom, robust vector structures—not simple template integrations.
Decoupled Ingestion Engine
Our layout extraction models decompose scanned data, tables, and nested pages into clean markdown formats. We preserve hierarchies instead of chopping files into random word counts.
Hybrid Retrieval Tuning
We combine exact keyword index retrieval (BM25) with deep vector semantics. This guarantees exact matches for unique model SKUs, invoice IDs, or specific legal clauses.
Permissive Context Security
We inherit permission matrices from Azure AD, Okta, and Salesforce. A user query will never pull context tokens from a source document they aren't authorized to read.
Vendor/Model Agnostic Architecture
Deploy private instances of Claude 3.5 Sonnet, private Azure GPT-4o, or fully offline open-source models inside your secure VPC. Avoid API locked-in dependencies.
Obsessive Quality Observability
We bake dual-pass evaluation tools straight into the RAG routing layer. Real-time dashboards track faithfulness score, context recall, and groundness drift metrics.
15+ Years Enterprise Pedigree
We are certified enterprise engineers since 2011. We build RAG pipelines using strict CI/CD, complete schema validation, and audit controls that satisfy security teams.
Real outcomes from secure production systems.
Context Groundedness Metric Certified
Semantic Search & Vector Graph Latency Envelope
Average Saved Weekly Search Hours Per User Segment
Fixed Scope. Precise Execution.
We deliver through highly-structured, time-boxed milestones so your team achieves direct ROI without consulting drift.
Discovery & Knowledge Mapping
We audit your data sources, document formats, permissions, and define high-ROI RAG use cases mapped to your systems.
Ingestion & Pipeline Build
We build custom multi-format chunking, vector embedding, and hybrid sparse/dense retrieval pipelines over your live data.
Observability & Guardrails Integration
We implement automated faithfulness evaluations, security controls, citation routing, and drift detection alerts.
Production Launch & Enablement
We deploy the verified system in your cloud environment, enable team access with full governance, and transition ownership.
Stop digging manually.
Unlock your accumulated memory today.
Let's map your databases and unstructured documents in a structured 2-week discovery sprint to prove semantic accuracy before indexing live data.
Start with an AI Sprint