Aitia uses causal AI to turn human disease data into testable drug hypotheses
Aitia’s Gemini Digital Twins explained: disease models, target discovery, drug simulation and publicly disclosed collaboration terms.
7 minread
AI businesses, understood
Understand what makes AI businesses work.
We break down the products, positioning, design and workflows behind AI companies. So you can choose better tools, learn from useful patterns and build with a clearer picture.
01Research with a purpose. A clear read of the public evidence, with sources and practical takeaways.
02Selected for substance. We choose companies worth understanding. Anyone can suggest one.
03Independent by design. A company can contribute facts. The analysis stays ours.
A business, sequencedThe building blocks
01
Product
What it does. Who it helps. Where it fits.
02
Positioning
The promise, the audience and the route to discovery.
03
Experience
How design and structure make the product easier to use.
04
Workflows
How the tools, integrations and processes connect.
Public evidence → connected insights → a more useful decision.
A blueprint of what we can observe. Clear about what we cannot.
A blueprint of what we can observe. Clear about what we cannot.
The Sequence
Independent company research · newest firstEach company is a starting point: understand its offer, how the pieces fit together and what you can learn from it.
AQEMIA connects physics-led molecular design with drug discovery partnerships
AQEMIA’s QEMI platform explained: physics-led generative AI, experimental validation and the commercial boundaries of research partnerships.
7 minread
Atinary uses AI to choose the next useful experiment in a laboratory
Atinary SDLabs explained: Bayesian optimisation, manual and automated experiments, integration boundaries and the AWS private-offer pilot price.
8 minread
Innodisk brings visual AI training and deployment into industrial edge systems
Innodisk’s edge AI offer explained: iVIT training and inference, APEX systems, custom engineering and the questions behind a production vision deployment.
7 minread
Kontron makes edge AI a hardware, operating system and integration decision
Kontron’s edge AI portfolio explained: Hailo-equipped KBox systems, visual inspection, KontronOS services and configuration-specific commercial access.
7 minread
LabGenius uses machine learning and functional assays to engineer antibodies
LabGenius Therapeutics explained: EVA, multi-objective antibody optimisation, preclinical programmes and the commercial structure of pharma partnerships.
7 minread
XtalPi links molecular AI with the laboratory work needed to test it
XtalPi’s AI discovery and automation offer explained: digital chemistry, compound design, robotic laboratories and negotiated research partnerships.
7 minread
Airbyte connects data pipelines with AI access
Explore Airbyte’s replication, MCP and context layer, including current Cloud read-only limits, deployment choices and pricing differences.
7 minread
Docket turns website questions into qualified sales handoffs
Explore Docket’s inbound Demand Agent, governed knowledge, CRM handoffs and current pricing conflicts, including limits on Frameless availability.
7 minread
Fyxer connects inbox work with shared client context
Explore Fyxer’s email drafts, meeting notes, Spaces and Flows, including current seat pricing and unresolved credit-rate differences.
7 minread
Find your area of interest.
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Models & infrastructure
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Search & research
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Productivity & office
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Why Sequenced?See the parts.
See the parts.
Understand the whole.
Sequencing means making sense of something through its building blocks. Here, those blocks are the products, experiences and systems behind a business.
Our perspective comes from hands-on work in digital marketing, automation, AI and user experience. We turn that into independent research you can use.
How it works →