Optimize what
Dynamics manages

Dynamics 365 records the transaction and enforces the rule. It does not compute the optimal price, pick path or stock level. We build the apps that do.

37 AI agents in production — across four products

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Enterprise Grade
Security First
Founded 2019

Trusted by enterprises. Built on leading platforms.

Dynamics 365AzureMicrosoft AzureAmazon Web Services
37AI Agents in Production3Clouds in ProductionSOC 2 · ISO 27001Security & Compliance · Aligned

Our focus right now

Half the job is walking

In most warehouses, roughly half of picking time is spent walking rather than picking, and the walking is driven by where inventory was placed, often years ago and never revisited. We read your order history and tell you what to move, inside the Dynamics 365 you already run, so more lines go out the door with the same crew.

Learn about pick optimizationGet your pick diagnostic
Warehouse travel before and after placement is derived from order historyTwo warehouse grids side by side. On the left, the items on a single order sit far apart and the picker path crosses the building several times. On the right, the same order is filled from items placed close together near the packing station, and the path is short.Placement todayPackPlacement from order historyPack

What brings you here?

For operations & IT leaders

Adding AI to our ERP

For operations and IT leaders on Microsoft Dynamics 365 who want AI built into the system they already run, not a separate tool their team has to learn. Warehouse pick optimization, computer vision that fixes inventory location accuracy, and knowledge assistants over your documents and training videos.

Explore ERP AI
For founders & product teams

Building an AI product

For founders and product teams who need production AI shipped fast and hardened to scale. Multi-agent systems, retrieval and search over your documents and data, voice AI, and the data pipelines and cloud foundations to run them.

Explore AI systems
The Optimizer Family

AI Optimization Apps for Microsoft Dynamics 365

Cognilium AI builds optimization apps that run in tandem with Microsoft Dynamics 365. Dynamics is your system of record: it manages pricing, warehouses, inventory and contracts. We are your system of intelligence, computing the decision it records but does not derive. Four apps carry the family.

Pricing Optimizer

Dynamics applies the price you typed. This computes the one you should.

Explore

Pick-Path & Slotting Optimizer

Placement derived from your order history, so pickers walk less — travel is roughly half of picking time.

Explore
In production

Contract Review Copilot

Review against your own playbook — in production today as Paralegent AI.

Explore

Demand & Inventory Optimizer

Safety stock and reorder points computed from your data, written back where planning reads them.

Explore

We do not touch your ERP core, and we never replace your implementation partner. Founded in 2019 with 37 AI agents in production, Cognilium AI also runs a separate AI engineering practice building production agent, retrieval and data systems.

Our second practice

We also build production AI systems

Optimization apps for Dynamics 365 are what we lead with. Alongside them we run an AI engineering practice — it is where the four products below came from, and it is how we learned the engineering that the Optimizers are built on.

See the AI engineering practice
Agent systems
Retrieval & knowledge graphs
Voice AI
Data pipelines

What we do

From AI Development to Full-Stack Systems

From AI development to full-stack solutions - we build enterprise-grade systems that scale

Why choose us

Why Teams Love Working with Cognilium AI

Five things a competitor cannot copy into their deck this afternoon. Each one is either documented architecture or a commitment we make in writing elsewhere on this site.

See the work

  • We tell you when it will not work

    The data check comes before the proposal

  • ERP process and data science, same team

    The rare pairing this work actually needs

  • It runs in your tenancy

    Power Platform, Dataverse, Azure — your environment

  • We do not compete with your partner

    Your implementation partner keeps their work

  • Founder-led, and checkable

    You work with the people building it

Trusted by Enterprise Teams on Clutch

The profile is public. Every rating and review on it was left by a client, on a platform we do not control.

Cognilium AI

Cognilium AI

Min project size $5,000+

Service lines

  • Cloud Consulting & SI30%
  • Generative AI25%
  • Enterprise App Modernization20%
  • BI & Big Data Consulting & SI15%
  • DevOps Managed Services10%
Clutch profileView Clutch Profile

How Does Cognilium Build AI That Actually Works?

Cognilium builds AI optimization apps for Microsoft Dynamics 365, focused on Agentic GenAI, LLM-powered data, and production-ready AI.

AI Talent

Elite Agentic GenAI Engineers

Experts in LangChain, RAG, OpenAI, LLaMA, and Gemini - we don't just know the tools, we've shipped real products with them.

  • LangChain, RAG, OpenAI, LLaMA, and Gemini expertise
  • Shipped real products, not just tutorials
  • Production-ready GenAI implementation
LangChainSparkAIOpenAI
Talk to our Experts

4 AI Products We Engineered from Zero to Production

These products prove our engineering depth. We build the same for you.

Our products

Paralegent AI

AI-powered contract review inside Microsoft Word, identifying risks based on your company's rules.

11 AI Specialists12 Legal Categories2-8 Min Reviews
Learn more

Step 1 · Outlook booking

Output

A 30-minute call with an engineer who has shipped this work, not a sales rep.

Step 2 · Straight answers

Output

Bring the stack, the constraints and the parts you are unsure about. You get straight answers, including where we think the idea is wrong.

Step 3 · Dynamics 365

Output

We agree what is in, what is out, and whether this needs one engineer or a full squad.

Step 4 · LangChain, OpenAI, Claude

Output

An architecture you own: the models, the data flow and the integration points into the systems you already run.

Step 5 · AWS, Azure, Kubernetes

Output

Engineers embed with your team and ship to production in your stack and your sprint cadence.

Ready to Transform Your AI Vision Into Reality?

Whether you need 1 engineer or a full AI squad - we're ready. Let's discuss your project and see how we can accelerate your GenAI development.

Explore Our Services

Mudassir Marwat

Founder & CEO

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Ali Ahmed

AI Solutions Engineer

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Success stories

How Does Cognilium Build AI That Ships?

Systems that reached production and stayed there — enterprise search, agent orchestration, document intelligence.

Legal / Contract Operations

Why Contract Review Is Slow: The Playbook Only Exists in Someone's Head

Every company that reviews contracts has a playbook — the rules its legal team has agreed it will and will not accept. It is a document, and it does not scale. The reviewer scales it, from memory, one contract at a time. Here is what we built instead.

12
categories
3
PDF, Word, spreadsheet
Read case study
Financial Services / SaaS

How a Multi-Family Office Made Its Own Documents Answerable

A family office's job is to know what a family owns and what it owes. That answer lived across QuickBooks, a document drive, a calendar and an inbox — and could only be assembled by a person opening files. Here is how the platform that serves those families made the question answerable without giving anyone access to a second family's data.

70+
endpoints
60+
scopes
Read case study
Education / EdTech

How a K-12 Publisher Made 30 PDFs of Methodology Usable in a Classroom

A writing-curriculum publisher had 1.37 million characters of proven methodology and teachers who could not use it. The material was not the problem — finding the right piece of it at 7am on a Tuesday was. Here is how we made a catalogue answerable instead of searchable.

584
passages
298
glossary terms
Read case study
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Frequently Asked Questions

Why Do Enterprise Teams Choose Cognilium?

Learn about our proven track record, client results, and expertise from real enterprise AI projects.

What does Cognilium AI do?

We build AI optimization apps that work in tandem with Microsoft Dynamics 365. Dynamics is your system of record; we are your system of intelligence. It manages pricing, warehouses and inventory; we optimize them with data science. We also run a separate AI engineering practice building production agent, retrieval and data systems.

How is Cognilium different from a Dynamics implementation partner?

We are not an ERP implementer, reseller or systems integrator, and we never step on your partner. They put Dynamics in and keep it running. We build the complementary apps that make the optimal call on top of it — the last mile your ERP records but cannot optimize. We don't touch your ERP core; we surround it with intelligence.

What does an optimization app actually do that Dynamics does not?

Dynamics enforces the rule and stores the data, which gets a process about 80% of the way. The last 20% is the decision itself: the optimal price, the optimal pick path, the optimal safety stock. Those need data science, not configuration. Our app computes the recommendation and the process owner acts on it inside the system they already use.

Which processes do you optimize?

The lead plays are pricing and discounting, warehouse pick-path and slotting, contract and procurement review, and demand and inventory planning. We pitch across roughly twenty ERP domains in total. Working demos exist and we build each app on request.

How do you integrate without putting our ERP at risk?

We run in tandem with Dynamics on your own governed stack — Power Platform, Dataverse and Azure — and ship via AppSource where appropriate. We read from and write to documented integration surfaces rather than modifying the ERP core, so your implementation partner's work and your upgrade path are untouched.

Where is Cognilium AI located?

Cognilium AI is headquartered in Lahore, Pakistan. We serve enterprise clients across the United States, United Arab Emirates, and Pakistan. All work is done remotely via video calls, Slack, and project management tools.

What products has Cognilium built?

We built 4 production AI products: Paralegent AI for contract review with 11 AI specialists, ProspectVox for voice AI sales with 4 agents, VectorHire for AI recruiting with parallel screening agents, and VORTA for 24/7 AI customer support. These products prove our engineering depth.

Can Cognilium augment my existing engineering team?

Yes. We provide pre-vetted senior GenAI engineers who embed with your team within 48-72 hours. They work in your sprint cadence, your stack, your tools. Expertise includes LangChain, OpenAI, RAG, multi-agent systems, and voice AI. No long-term commitments required.

What technology stack does Cognilium use?

For Dynamics work: Power Platform, Power Apps, Dataverse and Azure, shipped via AppSource where appropriate, so everything stays inside your governed environment. For the AI engineering practice: LLMs (Claude, GPT, Llama, Mistral), vector databases (Pinecone, Weaviate, Qdrant, pgvector), orchestration frameworks (LangGraph, CrewAI, LlamaIndex) and AWS, Azure or GCP. All with monitoring, testing and deployment pipelines.

Who is the founder of Cognilium AI?

Mudassir Marwat founded Cognilium AI in 2019 and leads it as CEO. The company builds the AI layer above the ERP — the pricing, replenishment, pick-path and contract decisions Dynamics 365 records but never optimises — and operates four AI products of its own, running 37 AI agents in production across three clouds. He works from named outcomes rather than averages: a 97% database-load reduction on a marketplace platform, a material cut in AI running costs through model routing on a contract platform. He ships on three clouds in production — AWS, GCP and Azure, each with its own infrastructure-as-code — with clients in the US, UAE and Pakistan.

Still have questions?

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From our engineering blog

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Dynamics manages it. We optimize it.

Start with the decision your team argues about most. The first conversation is whether your own data can answer it.

  • Pick the decision Dynamics records but does not compute
  • Check whether your history can support optimizing it
  • Get a straight answer when it cannot