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Agentic AI for Chemistry Grunt Work

Agentic AI for Chemistry Grunt Work

Most lab time is lost searching for past experiments, interpreting unclear results, and recreating what already did not work.



Chempanion makes chemistry data searchable and connected so scientists can search, ask and execute with chemistry as the native language.

Searchability

Stop losing experiments across PDFs, PPTs, and journals by making data searchable across files.

Save Time

Reduce search time by 95% and stop digging through old data by finding results in seconds.

Save Costs

Avoid failed experiments by reusing existing inventory and past experimental knowledge.

Integrate Anything

Eliminate manual handoffs by connecting ELNs, spreadsheets, and external data into one workflow.

Product Features

Turn Fragmented Data Into Clear Insights

Centralise chemical knowledge, reduce errors and power faster discovery with a single integrated system.

AI suggesting actions like "Optimize onboarding flow" and "Raise pricing tier" based on user data.

Automated Chemistry Workflow

Connect chemical databases, ML pipelines and retrosynthesis tools into a single workflow.

Dashboard showing MRR of $69,897 and 1206 active users with an upward trend graph.

Molecular Search and Extraction

Search, locate and extract molecules, substructures, and reactions across all file types so data is easy to retrieve.

AI suggesting actions like "Optimize onboarding flow" and "Raise pricing tier" based on user data.

Inventory Aware Retrosynthesis

Integrate with live inventory to recommend the most feasible and efficient synthetic routes, preventing rework.

Dashboard showing MRR of $69,897 and 1206 active users with an upward trend graph.

Chemistry-Aware AI

An LLM that can respond using chemical structures in summaries, suggestions and experimental history.

Dashboard showing MRR of $69,897 and 1206 active users with an upward trend graph.

Chemistry-Aware AI

An LLM that can respond using chemical structures in summaries, suggestions and experimental history.

Dashboard showing MRR of $69,897 and 1206 active users with an upward trend graph.

Chemistry-Aware AI

An LLM that can respond using chemical structures in summaries, suggestions and experimental history.

AI Agents

Specialised Agents for Every Workflow

Built for Chemistry labs to automate day to day tasks with accuracy across the entire R&D pipeline.

MedChem Agent

Recommends design changes to address specific issues so costly trial-and-error is reduced.

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Synthetic Chem Agent

Delivers inventory-aware retrosynthesis and shortest viable routes for synthesis planning.

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Literature Search Agent

Search through the internet, databases, journals, and patents for latest information

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Analytical Agent

Predicts NMRs, mass specs and chromatograms and breaks down structures to validate compounds

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Internal Search Agent

Search through internal files and old experiments for procedures, conditions and outcomes

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Execution Agent

Execute chemical orders, create PPTs, create plots and SAR summaries to reduce manual work.

Envelope containing recommendations like “Fix churn spike” and “Action,” symbolizing actionable insights.

Integrations

Our Range of Integrations

Our Range of Integrations

Our Range of Integrations

Automate tasks, unlock insights, and scale your team’s productivity — all in one place

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The Essentials

Security & Data Control

Security & Data Control

Security & Data Control

Protect sensitive data with secure hosting, granular permissions, and enterprise-ready integrations.

Encrypted Architecture

Prevent any external data leakage with on-premises, private cloud, or hybrid deployments.

Logos of tools outward, illustrating easy integration with no engineering required.

Encrypted Architecture

Prevent any external data leakage with on-premises, private cloud, or hybrid deployments.

Logos of tools outward, illustrating easy integration with no engineering required.

Granular Access Controls

Enable role-based permissions and data masking so sensitive chemical IP is never exposed or exported.

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Fully Customizable

Integrates directly with ELNs, LIMS, inventory, and procurement systems, keeping workflows connected.

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Note from the Founder

Chempanion was built from firsthand experience. I spent over 12 years as a scientist, dealing daily with siloed data, slow handoffs, and waiting on teams to move work forward.

I did not set out to build an AI company nor did I know how to run an ML pipeline. What I did know was that scientists needed a copilot that could automate repetitive work, remember what had already been done, and surface insights at the right moment.

Chempanion is built to act as your lab’s institutional memory, so every scientist can operate like a 10x version of themselves, building forward instead of starting over, and scaling R&D without scaling friction.

Portrait of Daniel Hayes, founder of EarlyBird.

Kiran Bettadapur

Founder of Chempanion

FAQ

Frequently Asked Questions

Frequently Asked Questions

Frequently Asked Questions

Why is Chempanion better than other tools in the market?

Traditional search tools read text, not chemistry. Chempanion recognizes molecules, substructures, reactions, and context across PDFs, presentations, spreadsheets, and internal systems. It understands chemistry as a native language, enabling accurate search, reasoning, and execution workflows.

Can Chempanion run securely inside our environment?

Yes. Chempanion supports fully on-premises, private cloud, and hybrid deployments. All models, embeddings, and caches remain within your enterprise boundary. Your data never leaves your controlled environment.

How does Chempanion improve productivity and decision-making?

By "un-siloing" chemical knowledge and enabling instant search, reasoning, and workflow execution, Chempanion reduces search time by more than 95%, increases experiment and material reuse, minimizes duplication, and accelerates discovery cycles across R&D teams.

How does Chempanion integrate with our existing R&D infrastructure?

Chempanion includes native connectors for ELNs, LIMS, inventory management, procurement systems, and cheminformatics platforms. It can also connect to chemical databases, ML pipelines, and retrosynthesis engines to provide real-time predictions and automated actions.

What types of questions can scientists ask Chempanion?

Scientists can ask how to make molecules, summaries of reaction conditions, suggestions for structural alternatives, analyses of property changes, retrieval of prior reagents or screens, and cross-linked insights from literature, patents, and internal experiments.

How does the AI understand chemistry?

Through our proprietary integrations and custom ML pipelines we enable LLMs to read structural information with 100% accuracy. On top of the structural data, the LLM can access calculation pipelines, ML prediction/generative pipelines, credible internal and external data sources and then compile accurate and non-hallucinated responses

Why is Chempanion better than other tools in the market?

Traditional search tools read text, not chemistry. Chempanion recognizes molecules, substructures, reactions, and context across PDFs, presentations, spreadsheets, and internal systems. It understands chemistry as a native language, enabling accurate search, reasoning, and execution workflows.

Can Chempanion run securely inside our environment?

Yes. Chempanion supports fully on-premises, private cloud, and hybrid deployments. All models, embeddings, and caches remain within your enterprise boundary. Your data never leaves your controlled environment.

How does Chempanion improve productivity and decision-making?

By "un-siloing" chemical knowledge and enabling instant search, reasoning, and workflow execution, Chempanion reduces search time by more than 95%, increases experiment and material reuse, minimizes duplication, and accelerates discovery cycles across R&D teams.

How does Chempanion integrate with our existing R&D infrastructure?

Chempanion includes native connectors for ELNs, LIMS, inventory management, procurement systems, and cheminformatics platforms. It can also connect to chemical databases, ML pipelines, and retrosynthesis engines to provide real-time predictions and automated actions.

What types of questions can scientists ask Chempanion?

Scientists can ask how to make molecules, summaries of reaction conditions, suggestions for structural alternatives, analyses of property changes, retrieval of prior reagents or screens, and cross-linked insights from literature, patents, and internal experiments.

How does the AI understand chemistry?

Through our proprietary integrations and custom ML pipelines we enable LLMs to read structural information with 100% accuracy. On top of the structural data, the LLM can access calculation pipelines, ML prediction/generative pipelines, credible internal and external data sources and then compile accurate and non-hallucinated responses