Blog

Articles, updates, and insights from the OVAITY team about AI-native research, scientific memory, and connected life science R&D.

Floating scientific panels connecting a robotic liquid handler, laboratory instruments, a dissolution curve, an experimental archive, and a closed research loop around a glowing network hub

AI & Research

The Agent Had the Same Laboratory. What Changed Was the Evidence.

Intrepid Labs compared agentic formulation design with and without access to structured in-house experimental results. Withholding that record cut mean paclitaxel performance by 34%. The harder problem for R&D is not putting an agent in a closed loop — it is making the organization’s own experiments usable by the next one.

Roberto HoneggerOct 5, 20269 min read

Floating scientific panels connecting a DNA repeat array, a bacteriophage, protein structure, agent reports, and a laboratory assay over a faint network

AI & Research

Agents Can Notice an Anomaly. The Constraint Is the Record.

Anthropic’s Claude agents found a previously uncharacterized reverse-transcriptase system in phage DNA. Function is still unknown. The harder problem for R&D is what happens to the hypotheses a campaign like this produces — and then discards.

Roberto HoneggerSep 28, 20269 min read

Floating scientific panels connected like a map of life sciences — atlas, DNA, protein structure, a learning path, and linked evidence — over a faint network of routes

Open Science

Introducing BioAtlas: A Community Resource for Life Sciences

Life-science knowledge is abundant — and scattered. BioAtlas is a free, open resource for exploring the field, learning the science behind it, and staying current as it changes.

Roberto HoneggerSep 23, 20267 min read

Connected scientific evidence panels — agent networks, molecular structure, analyses, and protocols — arranged around a shared research record

AI & Research

A Virtual Biotech Can Scale Agents. The Constraint Is Evidence.

Stanford’s Virtual Biotech, published in Science last week, shows that agent teams can reason over public biomedical data. The harder problem for R&D is giving those agents a trustworthy record of the organization’s own work.

Roberto HoneggerSep 21, 20269 min read

Bioinformatics

What is bioinformatics? A practical guide for modern life-science R&D

A bioinformatics analysis can produce a convincing figure within a few hours. Six months later, another researcher may struggle to explain how that figure was made.

Roberto HoneggerJul 30, 202614 min read

Scientists collaborating in a connected research environment with AI-assisted project context

AI & Research

AI Workbenches Are Arriving. Science Now Needs a Memory Layer.

The next phase of AI-native R&D will not be defined only by better models. It will be defined by whether teams can keep project context, evidence, decisions, and provenance connected over time.

Roberto HoneggerJul 9, 20269 min read