Built on Neofabric

Neofabric is our AI engineering framework — a library of modular components, field-tested in production and refined over years of client delivery. Assemble the right solution faster, at lower cost, and with less risk than building from scratch.

THE UNCOMFORTABLE TRUTH

The real challenge is not AI.
It's implementation.

0%

of companies struggle to harness the full potential of AI.

* MIT — The Gen AI Divide: State of AI in Business 2025

The gap between AI ambition
and AI reality.

Most companies do not lack ambition. They have use cases, management support, and access to technology. What is missing is a fast, low-risk path from idea to working system — without long discovery phases, unclear priorities, or costly vendor lock-in.

We bridge that gap.
From AI confusion to a working prototype in days.
/ How it works

One framework, four AI domains, infinite client-specific solutions.

Every Neodata engagement is a composition, not a build. We pick modules from Neofabric across the four AI domains, wire them through shared infrastructure, and assemble a solution shaped exactly to your data, workflow, and constraints.

Client-Specific SolutionVideoDocumentOCRDataAssistantsNEOFABRIC FRAMEWORK
CLIENT-SPECIFIC SOLUTION
The deliverable: an enterprise-grade application or pipeline shaped to your domain, data, and workflow.
DOMAINS & MODULES
Pre-built capability blocks across Video, Document, Data, and Assistants. Picked à la carte, mixed across domains.
NEOFABRIC FRAMEWORK
The shared engineering substrate: foundation models, RAG, agents, and data layers. Same backbone across every project.
/ Engineering principles

Three properties that make AI delivery predictable.

01

Reusable foundation

Foundation models, RAG pipelines, AI agents and data optimization layers — pre-built, hardened, and tested across production deployments. We don't reinvent infrastructure on every engagement.

ragagentseval-harnessguardrails
02

Model-agnostic

No lock-in to a single AI provider. Neofabric routes across any AI — open-source, open-weight, or privately deployed — switching seamlessly as costs, latency, or compliance demand it.

fine tuningopen sourceon-prem
03

Modular

Activate only what you need. Combine modules across domains — a document RAG with a video transcription module behind one assistant — and scale up over time as your AI program matures.

composecross-domainscale-as-you-go

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