Agentic Knowledge Platform
Your document knowledge orchestrated by agents.
RootNia connects your internal and external sources, classifies every document by sector, and answers with the right language model, all coordinated by Neural Intelligence Agents that keep the cycle moving without manual intervention.
6+
Sectors classified: insurance, legal, finance, healthcare, engineering, logistics
3+
LLMs integrated: ChatGPT, Claude, Kimi, and more
2+
Document origins: internal and external
What RootNia does
01
Document Orchestrator
Connects OneDrive, SharePoint, and databases, from internal and external sources, into a single intake flow.
02
Extractor & Classifier
Identifies and classifies every document by sector insurance, legal, finance, healthcare, engineering, and logistics with no manual rules.
03
RAG
Retrieves the right context from within your own documentation, so every answer is grounded in your sources.
04
LLM Integration
Connects to market models — ChatGPT, Claude, Kimi, and whatever comes next without switching platforms when the model changes.
Under the hood
Six specialized engines, one platform
From raw scans to grounded answers, each module handles one part of the pipeline so nothing gets lost in between.
Multi-modal Intelligent Knowledge Analysis
Reads and interprets text, tables, images and scanned pages together, turning mixed-format documents into a single structured knowledge layer.
Multi-Observer Specialized Analysis with Intelligent Consensus
Runs several specialized models over the same content and reconciles their outputs into one consensus result, reducing errors and inconsistencies.
Verified Extraction with Region Anchoring
Anchors every extracted value to its exact location in the source document, so any answer can be traced back and verified in a click.
Optical Character Recognition
Converts scanned pages, PDFs and images into searchable, machine-readable text.
Retrieval-Augmented Generation
Retrieves the most relevant passages from your knowledge base before generating an answer, keeping every response grounded in your own documents.
Natural Language to SQL
Translates plain-language questions into SQL queries, so anyone can query structured databases without writing code.
Neural Intelligence Agents
A cycle, not a series of steps
RootNia’s agents close the loop on their own: the orchestrator hands the document to the classifier, the classifier feeds the RAG layer, and RAG picks the right LLM to answer then the result flows back to the orchestrator. No manual queues between steps.
Trust & governance
Built to operate inside your controls, not around them
RootNia is designed so every retrieval is logged, every document tier is access-controlled, and nothing bypasses the rules your organization already has in place.
Every answer is traceable
Each response links back to the documents that grounded it. You can audit which source, which sector classification and which LLM produced any given answer.
Private, public and technical tiers
Documents are separated into private, public and technical tiers (including Jira and Confluence) from the moment the orchestrator ingests them. The access control follows that tier automatically.
Designed to help you comply with
- GDPR
- EU AI Act
- NIS2
- DORA
- LOPDGDD
Infrastructure aligned with
- ISO 27001
- SOC 2 Type II
- ENS
Flexible deployment
Choose how you run RootNia
The same orchestration, extraction and RAG engine, adapted to how your organization needs to deploy it.
Fully managed, live in days
We host and maintain everything. Connect your sources and start orchestrating documents without provisioning any infrastructure.
Inside your own perimeter
Deploy RootNia in a dedicated VPC or on-premise, for regulated environments where documents can never leave your infrastructure.
Headless integration
Call RootNia’s orchestration, extraction and RAG engine directly from your own products and internal tools via API.
Why RootNia
How RootNia compares
Three ways teams process documents today, and what changes when RootNia coordinates the pipeline.
RootNia vs Manual process
- Processes documents in minutes instead of hours of manual review and re-keying.
- Every extraction is traceable to its exact source, removing copy-paste and transcription errors.
- Scales to thousands of documents without adding headcount.
RootNia vs ChatGPT / Claude directly
- Connects directly to OneDrive, SharePoint and your databases — no manual copy-pasting into a chat window.
- Every answer is grounded and traceable back to your own documents (RAG), not just the model’s general knowledge.
- Model-agnostic: switch between ChatGPT, Claude, Kimi and others without rebuilding your workflow.
RootNia vs Abbyy / Kofax
- Combines OCR with LLM-based understanding (MIKA, MOSAIC, VERA), not just rigid template-based field extraction.
- Handles unstructured and mixed-format documents, not only fixed form templates.
- Extraction is verified with region anchoring (VERA), giving field-level traceability by default.
B2B pricing
Transparent pricing, no surprises
Annual rates for enterprise use. No hidden costs for document volume or additional sources beyond Enterprise.
Growing teams
Starter
For teams that need OneDrive, SharePoint and databases orchestrated from day one.
- 3 document sources (up to 50,000 documents)
- All LLM integrations (ChatGPT, Claude, Kimi…)
- 6 sectors classified
- 5 technical users
- Email support · <48h response SLA
Scaling teams
Business
For teams that need governed document tiers, SSO and priority support.
- 10 document sources (up to 250,000 documents)
- All LLM integrations + custom routing rules
- Governed document tiers (private / public / technical)
- 20 users + 5 viewer seats
- Priority support 24×5 · <24h response SLA
- SSO SAML 2.0
Regulated & multi-team
Enterprise
On-prem or dedicated VPC deployment, with a dedicated success manager.
- Unlimited document sources · multi-tenant
- On-prem or dedicated VPC deployment
- Unlimited users + SCIM provisioning
- Dedicated CSM · custom SLA
- Custom data residency & compliance mapping
Frequently asked questions
Answers to your questions
Can't find what you're looking for,contact our team.
RootNia is not a single chatbot — it is a pipeline. A document orchestrator keeps OneDrive, SharePoint and databases in sync, a classifier sorts every document by sector, and RAG grounds every answer in that structure before any LLM sees the question. Swapping the underlying model never means rebuilding the pipeline.
Yes. RootNia stays model-agnostic: ChatGPT, Claude, Kimi and other market models can be connected and swapped without migrating your document orchestration or your classification rules.
Documents are separated into private, public and technical tiers (including Jira and Confluence). Access control follows that tier, and every retrieval is logged so you can audit which document grounded which answer.
Yes. The Enterprise plan includes on-prem deployment and a dedicated VPC, so your documents never leave your trusted environment.
Starter: 48–72h with a kickoff call. Business: 1–2 weeks with technical onboarding. Enterprise: 3–9 weeks depending on the complexity of your sources and deployment model.
Yes. The Business plan includes SSO SAML 2.0, and Enterprise adds SCIM for automatic user provisioning and deprovisioning.
Contact
Connect your sources, migrate nothing
Request a demo with your own documents, and tell us a bit about your team so we can prepare it.
- services@stitchlabs.es
Sales & inquiries
Mon–Fri, 9:00–18:00 CET
Support hours
- Book a guided 20-minute demo
No commitment, with a solutions engineer