The platform

A knowledge engine that never leaves your walls.

AI Intime is a sovereign, hyper-contextualised knowledge engine - an agentic AI solution purpose-built for batch manufacturing and complex laboratory operations. It is deployed on-prem / air-gapped on top of the technology you already run, without replacing any of it, and without any data ever leaving your enterprise boundary.

How it works

Connect → Understand → Act

Batch manufacturing and lab-driven quality processes generate intelligence that is uniquely fragmented. Every batch, sample and deviation produces data across ERP, LIMS, QMS and paper records - plus a layer of tribal knowledge that never gets written down.

CONNECT

Connect what is already yours

Ingests structured and unstructured signals across the systems you already run - ERP, MES, CRM, PDFs, emails, IoT, wearables. Nothing is replaced, and nothing leaves your boundary.

UNDERSTAND

Build the context layer

Get Hyper Contextual Knowledge Engines for respective use cases - learning context, history, specifications and patterns at the batch and sample-level granularity generic tools cannot parse.

ACT

Answer in plain language

Answers in plain language and drafts responses - all source backed, you can trust every time, every day. Not another dashboard to build and maintain.

No rip and replace

It sits on top of what you already run.

No system of record is replaced. AI Intime reads across your existing stack and builds a single queryable layer over it.

ERPMESPLMLIMSCRMMicrosoft 365QMSPDFs & email
What makes it different

Eight things generic AI cannot do here.

01

Sovereign on-prem architecture

Not a feature - a hard requirement. OEM supplier quality agreements carry explicit data confidentiality clauses. AI Intime operates entirely within your infrastructure. Vaults are scoped the way you choose - per plant, per team, per project - and each OEM account is isolated with verified access controls, defensible to your customers’ auditors.

02

Cross-system synthesis, not search

The real problem is connecting a SAP batch record → a LIMS test failure → a QMS CAPA → an Outlook email → a SharePoint document from another plant two years ago → a verbal agreement made during an OEM site visit. AI Intime builds one intelligence layer across every connected system at once.

03

Custom agents for domain-specific data

When standard RAG fails - analytical lab reports hide structured data inside narrative text - AI Intime builds custom parsing agents that map the relationships explicitly: Parameter → Test Method → Sample → Batch.

04

A platform, not a point solution

A full agentic framework: intent recognition, planning and reasoning (ReAct, Chain-of-Thought), execution and validation, traffic control, memory and context management, safety and alignment guardrails, an MCP server integration layer, and multi-modal interfaces.

05

No disruption to your existing stack

No system of record is replaced. AI Intime sits on top of your ERP, MES, PLM, LIMS, CRM and Microsoft 365.

06

LLM flexibility - no vendor lock-in

Model-agnostic by design. You are not tied to one provider’s pricing or terms.

07

Operational intelligence, not document retrieval

Built for the batch and sample-level granularity of manufacturing and lab operations - parameter, test method, batch, deviation - not generic document search. It captures the intangible tribal knowledge that usually lives only in people’s heads and turns it into a structured, queryable asset.

08

Answers, not dashboards

BI tools need someone to build and maintain a dashboard before you get an answer. AI Intime answers the question directly, in plain language - all source backed, you can trust every time, every day.

See it against your own data.

A discovery session is a working conversation about your lab reports, your tribal knowledge, and your sovereignty constraints - not a slide deck.

On-prem. Your data never leaves your boundary.