Chemistry as Software.
AI-Driven Specialty Chemical Formulation
We treat molecular design as an engineering discipline — governed by constraints, optimized by autonomous agents, validated by science.
Newark, NJ · chemenova.com · chemenovausa@gmail.com
Specialty chemical R&D has not changed its methodology in decades. Formulation is still done by hand — trial, error, institutional memory, and luck.
We are replacing that with IntelliForm™: an agentic AI platform that takes a product specification in natural language and outputs optimized, constraint-validated formulations aligned to cost, sustainability, and regulatory targets.
This is not a chatbot for chemists. It is an autonomous decision engine that understands chemistry.
The core platform. A chemist describes a target product; IntelliForm reasons across material constraints, green chemistry metrics, regulatory regions, and cost posture — and returns a ranked set of formulation candidates.
Open-source community shell → Cheme-Nova/IntelliForm
Natural Language Spec
↓
Constraint Graph Builder
↓
Multi-Objective Optimizer ←─── RDKit · chemprop · GAUCHE
↓
Ranked Formulation Candidates
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Green Chemistry Audit + Regulatory Check
Functional ink and coating optimization for advanced printing applications. Phase: results validation.
Real-time process analytics for chemical hardware. Physics-Informed Neural Networks + FFT vibration analysis transforming centrifuge and reactor data into self-optimizing assets.
Prototype → Cheme-Nova/ai-node
| Repository | Description | Stack |
|---|---|---|
| IntelliForm | Open-source agentic formulation platform · RDKit-powered · ChemRich NJ pilot ready | Python |
| ai-node | Real-time process analytics · PINNs · FFT vibration · self-optimizing centrifuge assets | Python |
The enterprise IntelliForm™ core is maintained in a private repository. The public repo is the open contribution layer — chemists, ML engineers, and sustainability builders welcome.
Domain-first, not feature-first. Every capability we build starts with a real formulation problem, not a technology looking for a use case.
Autonomous, not assistive. The goal is systems that generate and validate — not systems that wait for a human to type the next prompt.
Science-grounded. Green chemistry metrics and circular sourcing are embedded in the optimization logic, not bolted on as a report at the end.
Open where it creates value. The community IntelliForm layer accelerates the field. The enterprise core is where proprietary constraint libraries and client IP live.
ChemeNova operates as the R&D and platform arm of ChemRich Global, with a live pilot integration at ChemRich NJ. We are actively seeking:
- Chemists and formulators to test IntelliForm against real product specs
- ML engineers interested in cheminformatics and molecular property prediction
- Sustainability researchers working on green chemistry frameworks
- Strategic partners in specialty chemical manufacturing and contract R&D
chemenova.com · LinkedIn · YouTube · chemenovausa@gmail.com
Building the IDE for chemistry-as-software.