Now in early access · pilots onboarding

Build machines faster than you can draw them.

Neurallel is the deep-tech AI platform for industrial automation. Multiple cross-domain SME agents — reasoning, first-principles modeling and simulation fused into one closed loop — take you from RFP to a simulation-proven, manufacture-ready design of industrial equipment.

Start a Pilot See the Platform

The cost of getting it wrong

Software rolls back. Steel and concrete don't.

Bid
Estimates built without cross-discipline rigour — margins decided by spreadsheet guesswork.
Build
BOM surprises and engineering change notices erode the budget after commitments are made.
Install
Non-compliance findings surface at the worst possible moment — on the customer's floor.
Fix
Once a design is cut, cast, routed or poured, the mistake is physical — re-tooling, scrap and a missed launch.

Platform

Three modules. One loop.

Read, design, simulate — then decide. The loop runs until every constraint is green: one contract between the modules, one audit trail, and a signed, evidence-backed Go / Mitigate / Hold recommendation.

Inputs
RFP / tender documents
CAD & engineering drawings
PLC logic & control code
Standards & compliance clauses
Vendor, BOM & lead-time data
The engineering loop
GRASPP
Read & Reason
Daartex
Design & Price
RevealSIM
Simulate & Prove
Loopback: re-ingest simulation results · update constraint confidence · iterate until every constraint is green
Outputs
Signed constraint bundle
N costed concepts — CAD, PLC, BOM
Simulation evidence, with error bars
Go / Mitigate / Hold recommendation
One end-to-end audit trail

Product

The loop, at work.

One workspace runs the whole engagement — from the ingested RFP to the concepts on the table to the signed decision. Every step visible, every claim traceable.

Illustrative product preview — interfaces shown are representative, not final.

Request early access

Pilot slots are limited while we onboard our anchor engagements. Leave your work email and we'll be in touch.

Or write to us directly at info@neurallel.ai.

Inside the platform

Not one big model — a network of grounded experts.

A live network of cross-domain industrial SME agents that reason, model and prove — debating across disciplines, then reconciling to an answer that violates nothing. Requirements are decomposed top-down from the RFP; designs are built and proven bottom-up from first principles. The loop closes where the two meet.

Module 1

GRASPP

Intelligence & governance. Reads the full RFP package, extracts the requirements and constraints that matter, and puts the SME network to work on them.

Output: a signed, evidence-backed constraint bundle.
Module 2

Daartex

Design automation. Turns the constraint bundle into multiple complete, manufacturable design concepts — each fully scoped and costed.

Output: costed, feasible concepts — compared as whole systems.
Module 3

RevealSIM

Simulation & loopback. Proves each concept works in software — before any metal is cut — and feeds what it learns back into the loop.

Output: proven, ranked designs with the evidence behind them.

Where we play

Industrial automation, for discrete and process industries.

One platform, two workflows — and both greenfield builds and brownfield upgrades on each. Every side carries its own vocabulary, engineering habits, and failure modes; Neurallel ships with the terminology and audit trails that fit the work.

Discrete manufacturing

SPM builders, line and cell builders, robotic integrators, test-rig and process-equipment makers — every tier that lands on the OEM shop floor. The workflow runs RFP → estimate → bid → design → build → install, and every step today leaks time and margin.

Neurallel compresses the front end: greenfield lines go from RFP to a simulation-proven design before capex is committed, and brownfield NPI maps each new product onto installed assets — showing what to reuse, retool, or add. Nothing bought twice.

Process industries

Plants and infrastructure across oil & gas, power, water and renewables — from tender → front-end engineering → detailed engineering → construction, for every organization that engineers them.

Neurallel screens the tender and runs discipline engineering with cross-discipline conflicts resolved before they reach the field — so milestone reviews start from evidence, not reconstruction. Greenfield units go from tender to a simulation-proven package before capex is committed; brownfield revamps, retrofits and debottlenecking map new requirements onto the installed plant — showing what to reuse, modify, or add.

Who this is for

Leverage for every engineering role — not replacement.

Engineering Managers

Own multi-discipline delivery with cross-discipline conflicts resolved in software — before they turn into rework on the floor.

Project Managers

Own estimate, cost, and schedule with costed BOMs and simulation-backed timelines — not spreadsheet guesses.

Automation Engineers

Mechanical, electrical, controls, robotics — spin up any SME agent the moment the problem needs it, 24/7.

Sourcing & Supply-Chain

AVL, BOM, and lead-time risk resolved via cost / lead-time / risk optimisation against real vendor data — sourcing rules baked in.

Manufacturing Engineers

Process, fixturing, takt, and Cpk validated against a physics-true twin — the same scripts that will run on the line, first in software.

Design Checkers & Auditors

Compliance enforced by construction, not ticked at review — with every claim traceable to its source artefact.

Technology

Cloud-native from the first commit.

Heavy CAD, FEA and multi-physics simulation demand HPC-grade compute on demand. Neurallel is architected entirely on managed cloud services — the same product, the same schemas, whether it runs as SaaS, inside your dedicated VPC, or fully air-gapped.

Cloud-native · SaaS · VPC · Air-gapped

An elastic architecture — end to end.

Every SME agent, every simulation run, every storage tier runs on managed cloud infrastructure that scales with the problem. Enterprise deployments run inside the customer's own cloud account and identity boundary — no data leaves the compliance perimeter.

Managed foundation modelsGPU inferenceHPC compute clusters Serverless orchestrationContainer workloadsObject storage PostgreSQL + vector searchMessage queuesIdentity & SSO Private VPC deploymentInfrastructure as codeFull observability
AI / ML
Managed foundation-model services for multi-agent reasoning · GPU instances for model serving and evaluation · deterministic constraint solvers and uncertainty quantification alongside — never language models alone.
Simulation & HPC
Elastic HPC clusters for multi-physics simulation, FEA, and Monte Carlo sweeps · high-memory instances for parametric CAD generation · spun up per run, torn down after — compute scales with the problem, not the headcount.
Backend
Serverless functions and containers for the module pipeline · managed identity for SSO and role boundaries · least-privilege execution per agent · full usage metering built in.
Data
Managed PostgreSQL with vector search for constraint bundles and embeddings · object storage for RFPs, CAD, and simulation artefacts with lifecycle policies · an immutable, signed audit-trail store from input to Go-decision.
Deployment
Multi-cloud by design — SaaS, dedicated VPC, or fully air-gapped on-prem for regulated and export-controlled programs · infrastructure as code end to end · deep CAD / PLM / ERP integration for enterprise deployments.

Traction & trust

Nothing missed. Everything signed.

Every RFP scored across commercial, technical, and compliance dimensions. Every output evidence-backed and traceable to its source — audit-ready by construction.

Anchor engagements

Two customers signed for onboarding — pilot to embedded deployment.

  • Global engineering & construction firm — consultants set to work on the Neurallel platform, from tender screening to discipline engineering.
  • EMS automation solution provider — turnkey automation cells and lines for electronics manufacturing, bid, designed and delivered on Neurallel.
Signed test engagements · pilot to embedded deployment · names shared under NDA.

Built for auditors

Evidence-backed decisions
Source-traceable claims
Standards-aware engineering
One signed audit trail
Human certifies every Go
Deploys inside your boundary

Company

The team behind industrial certainty.

Neurallel AI, Inc. — founded 2026, early-stage and product-first. Our mission: transform factories from RFP processes to efficient automated systems using AI and operational intelligence.

Dinesh Krishnan, Co-founder and CEO of Neurallel

Dinesh Krishnan

Co-founder & CEO

AI architect and serial entrepreneur — 24+ years across traditional AI, computer vision, and generative AI. Founded two AI ventures with a successful strategic exit. Now building Neurallel's agentic AI platform to unify industrial automation into an intelligent network.

Girish Babu Iyer, Co-founder and CTO of Neurallel

Girish Babu Iyer

Co-founder & CTO

Global automation leader — ex-Apple, with 20+ years in robotics, control systems and machine integration. Has led multi-million-dollar turnkey projects for Fortune 500 OEMs across automotive, FMCG, EMS and warehousing.

Start a pilot

Bring one real RFP. We'll turn it into a signed Go-decision.

Start a pilot

Tell us about your next bid — vertical, artefact types, and what a win looks like. Your pilot takes one real RFP through the full loop: constraint bundle, costed concepts, simulation evidence, and a signed Go / Mitigate / Hold.

Email info@neurallel.ai

Enterprise & custom deployment

On-prem, dedicated VPC, or air-gapped — with local knowledge packs and CAD / PLM / ERP integration. The high-touch path for discrete manufacturers, process-industry majors, EMS providers, and regulated programs.

Request an enterprise briefing