Platform Overview
Protocol Engine Data Fabric AI Agent
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The Platform

Three modules. One lab operating system.

Protocol Engine, Data Fabric, and AI Agent — each solves a distinct piece of the fragmentation problem, and together they replace the patchwork of tools a typical research lab runs today.

Protocol Engine Data Fabric AI Agent
Cypher AI platform architecture: experiment data layer, AI agent core, and protocol engine shown as interconnected modules on a light background

Each module solves a distinct problem. Together they close the loop.

Module 01

Protocol Engine

Describe your experiment in plain language. The Protocol Engine generates a structured, executable protocol with branching conditional steps, timing, reagent parameters, and a full audit trail — no manual transcription.

Protocols are versioned and forkable like source code. Your team runs the same procedure; deviations are logged, not silently absorbed into a new "version" on someone's desktop.

Learn more about Protocol Engine
root step 1 step 2 alt cond A cond B step 3 done skip done

Module 02

Data Fabric

Connect plate readers, sequencers, flow cytometers, and imaging systems to a unified data schema. Raw instrument output — CSV, proprietary formats, or direct API — lands in your experiment record without a manual export step.

Query across your full experimental history in natural language. Every data point carries provenance: instrument, run, operator, protocol version.

Learn more about Data Fabric
fabric LIMS ELN inst. scripts seq.

Module 03

AI Agent

Ask for the analysis you need in plain language. The AI Agent writes real, executable Python, runs it in an isolated environment, and returns the result alongside the full code and prompt that produced it.

Generated tools are saved to your team library. The next researcher who needs fold-change analysis or dose-response curve fitting starts from tested, versioned code — not a blank script.

Learn more about AI Agent
cypher agent — task runner
you > Plot fold-change for conditions A vs B from last week's plate reader results cyp > Reading plate_reader_2025-11-14.csv... Writing analysis/fold_change_AB.py Running in sandbox... Result: figure saved to results/fc_plot.png Tool added to team library

Walk through the platform with us.

Early access requests are reviewed personally. We schedule a call, learn your lab's current setup, and show you where Cypher fits.

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