Introducing the BLI Tech Stack
The BLI Tech Stack is a unified cyber-physical system for the bioeconomy — collaborative AI agents and connected hardware that close the DMTA loop across design, fabrication, and testing, and compound what your team learns with every cycle.
Built for the innovators who design and make advanced formulations and devices for human health and the environment.
Why Tools Are Not Enough.
Discovery, design, fabrication, and analysis run on disconnected tools. Each handoff strips out structure and breaks the loop before it can close.
Tools don't decide. Teams spend their time wiring scripts and translating between systems instead of designing experiments.
Hardware doesn't talk back. Instruments execute in isolation and the data they generate never flows back into the next design.
Knowledge doesn't compound. Every campaign starts from a blank slate because there's no shared intelligence layer above the legacy stack.
Loominus Designs & Orchestrates. BioLoom Prints. MetaLab Formulates.
Three layers, one loop. Loominus is the intelligence layer above your stack. BioLoom and MetaLab are the connected hardware that act on what the agents decide.
A private unified workspace where your team and AI agents share the same knowledge base, tools, and skills — the intelligence layer above your legacy infrastructure.
A modular self-driving additive manufacturing system for architected devices.
A modular self-driving formulation lab for autonomous synthesis and testing of advanced materials.
One Stack, Built at Both Ends.
BLI builds at both ends of the stack. The top four authoring layers — the IDE, Skills Library, MCP Servers, and Node Engine — sit above the Loominus Runtime, BLI's key software extension over LangGraph and Deep Agents. At the bottom sit BLI's self-driving systems; in between, the stack integrates foundation models and third-party substrate.
Visual graph authoring surface that composes agents, tools, Skills, instruments, and approval boundaries into one workflow.
Opinionated wrappers around MCP tools that add domain context, prompting guidance, safety constraints, and audit metadata.
BLI-built MCP servers that expose Node Engine functions as standardized AI-callable tools, alongside integrated third-party tool servers.
Domain-specific computational primitives across four categories — AI Core, CAD/CAM, Machine Learning, and IoT.
Hardened execution layer that extends LangGraph + Deep Agents with resource-aware scheduling, capability-scoped permissions, and auditable action trails.
Anthropic, OpenAI, and open-source foundation models alongside external instruments, FEA solvers, optimization libraries, datasets, and compute.
BioLoom (shipping multitool bioprinter) and MetaLab (self-driving formulation lab, launching Oct 2026) — designed and manufactured in-house.
Design → Make → Test → Analyze.
Agents decide. Connected hardware acts. Shared intelligence learns. Each cycle feeds straight back into the next Design step — the loop closes itself.
Design
Loominus StudioAgents plan and execute long-horizon tasks, reasoning over your entire knowledge base and encoded domain expertise.
Make
BioLoom · MetaLabBLI-built or third-party robotic platforms, connected with the design agents, execute formulation and fabrication tasks.
Test
BioLoom · MetaLabClosed-loop runs validate results and capture structured data automatically — no manual transcription, no lost context.
Analyze
Loominus StudioEach cycle updates the model and feeds straight back into the next Design step. The platform gets measurably smarter with use.
Design
Loominus StudioAgents plan and execute long-horizon tasks, reasoning over your entire knowledge base and encoded domain expertise.
Make
BioLoom · MetaLabBLI-built or third-party robotic platforms, connected with the design agents, execute formulation and fabrication tasks.
Test
BioLoom · MetaLabClosed-loop runs validate results and capture structured data automatically — no manual transcription, no lost context.
Analyze
Loominus StudioEach cycle updates the model and feeds straight back into the next Design step. The platform gets measurably smarter with use.
From Market Pull to Factory Floor.
The BLI Tech Stack runs the full product lifecycle on one loop — from identifying market needs to scaling validated workflows into production.
Market Pull
Identify product opportunities based on real-world demand.
Scientific Design
Define structured experimental workflows.
IP Strategy
Capture and protect formulation and process knowledge.
Regulatory Readiness
Maintain traceability and compliance throughout development.
Manufacturing Scale-Up
Transfer validated workflows directly into production.
DIGITAL RECIPES
Validated workflows become structured digital recipes — process logic, parameters, and full traceability — and transfer directly from R&D into production on the same platform.
One Loop. Measurable ROI.
Agents, connected hardware, and shared intelligence run on a single closed loop — delivering measurable gains in speed, reproducibility, and cost.
Accelerate development from concept to manufacturable product.
Every workflow is structured, versioned, and fully auditable.
Reduce failed experiments and inefficient material usage.
Maintain a continuous workflow from design to production.
Engineering-Grade Cyber-Physical System.
The BLI Tech Stack replaces fragmented tools with one closed loop — agents decide, connected hardware acts, shared intelligence learns.
Choose Your Entry Point.
Start with software, expand into automation, and scale into full system deployment based on your needs.
Starter
$590
per user / year
Pro
$1,790
per user / year
Enterprise
Custom
contact sales
Hardware
Custom
per site or lab
Built for Every Team in the Bioeconomy.
Continue Exploring.
Explore the Platform
Walk through every layer of the BLI Tech Stack.
See Solutions
How the closed loop runs in life sciences, pharma, and consumer & industrial.
Read White Papers
The conceptual and technical foundations of the BLI Tech Stack.
Explore BLI
Understand the company mission and long-term vision behind the system.
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Updates on the BLI Tech Stack, system design, and applied research.
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Ready to see the loop close?
Walk through a live workflow on the BLI Tech Stack — agents, connected hardware, and shared intelligence running one closed DMTA loop end to end.