Automated Chemistry Software Solutions

How We Support Chemistry-Driven Biotech Teams

We work with biotech organizations where chemistry is central to discovery, development, and technology enablement.

Across these teams, we consistently see:

• ·Synthesis data and execution spread across disconnected tools
• ·Manual research and protocol exploration slowing progress
• ·Automation investments that are difficult to adapt over time
• ·Growing interest in AI and agents without clarity on where they add value

Our role is to help teams move forward with systems that fit their environment today and can evolve as needs change.

What We Build

We help chemistry teams improve how work gets done by combining modular software and AI-assisted capabilities.

Modular Chemistry Software

We build modular components that support chemistry workflows such as library synthesis and synthesis planning. These components integrate with existing systems and provide a stable foundation for data, context, and workflow orchestration.

AI-Assisted Capabilities

We design AI-assisted components that support specific scientific tasks, including protocol design, experimental planning, literature analysis, and decision support. AI is applied where interpretation, reasoning, and research matter most.

Flexible Integration

All solutions are designed to work within real lab environments. Teams can adopt individual components, layer AI assistance into existing workflows, or combine both approaches without replacing current systems.

Our Core Solutions

Automated Chemistry Software Foundation

Synth⁺ is our modular foundation for synthesis planning and execution. It supports structured workflows, scientific context, and validation-ready outputs while integrating with existing systems and data sources. Synth⁺ can be deployed as a core platform or used selectively where synthesis workflows benefit from greater coordination and visibility.

The "plus" reflects optional AI-assisted and agentic capabilities that can be implemented over time.

AI-Assisted Scientific Reasoning and Context

Proto⁺ brings literature-aware reasoning and scientific context into planning and decision-making.

It supports tasks such as:

• ·Synthesizing prior work and experimental history
• ·Surfacing relevant scientific signals
• ·Supporting protocol and planning decisions with context

Proto⁺ can run within Synth⁺ or be integrated into existing customer systems, with configuration tailored to available data and workflows.

Coordinated Execution and Analysis

Batch⁺ supports coordinated execution and analysis across parallel reactions and experiments. It helps teams maintain consistency, account for safety considerations, and make informed adjustments during experimentation based on real-time and historical context.

Like Proto⁺, Batch⁺ can be layered onto Synth⁺ or integrated into existing environments where coordination and oversight are needed.

Built for Incremental Adoption

Our solutions are designed to be introduced where they matter most, without forcing architectural commitment.

In practice, teams may:

• ·Use Synth⁺ as a foundation for synthesis planning and execution
• ·Layer Proto⁺ or Batch⁺ where interpretation, reasoning, or coordination add value
• ·Deploy AI-assisted or agentic capabilities directly within existing systems

This approach allows teams to expand automation thoughtfully, based on real needs rather than predefined bundles or platforms.

Agentic Solutions and Custom AI Capabilities

In addition to our core software solutions, Integrant designs and implements agentic systems tailored to specific scientific workflows.

Agentic solutions are applied where multi-step reasoning, orchestration, or decision support is required across tools, data, or processes.

Teams engage us to:

• ·Design agents around real scientific workflows
• ·Connect agents to instruments, data sources, and systems
• ·Capture subject-matter logic and decision criteria
• ·Validate outputs within existing review and governance processes
• ·Deploy agents incrementally, from proof-of-concept to production

Some teams build agentic capabilities on top of Synth⁺. Others deploy agents directly within their existing environments. In both cases, the goal is the same: useful automation that holds up in practice.

How Our AI-Assisted Systems Are Built

Our approach is human-centered and grounded in scientific rigor.

Start with existing workflows

We map current tools, data, and processes to understand how work actually happens.

Focus on cognitive work

We identify steps that require reading, research, reasoning, comparison, or decision-making. These are the points where AI can add real value.

Design the right AI support

We implement appropriate AI-assisted or agentic capabilities based on task needs, not trends or tooling preferences.

Keep scientists in control

Outputs are transparent, reviewable, and designed to be validated by scientists.

This enables practical AI adoption without disrupting trust, quality, or established workflows.

From Ideas to Working Systems

Most teams come to us with a specific workflow, challenge, or idea in mind.

Typical timelines:

• ·Initial AI-assisted or agentic components: weeks, depending on complexity
• ·Incremental systems delivered: 1–3 months, based on scope and environment

We help teams explore what's possible, define what's useful, and implement solutions that fit their reality.

Who This Is For

This work is most relevant for teams responsible for:

• ·Automated chemistry or synthesis workflows
• ·Scientific software and technology enablement
• ·Applying AI thoughtfully within scientific environments
• ·Supporting secure, governed deployment across lab systems

If you're evaluating where AI-assisted or agentic systems can help and where they shouldn't, let's connect.

Biotech Research Success Stories