Osseus connects the tools your teams already use into one permissioned research brain, then gives every person a proactive agent that surfaces the evidence, the expert, and the next action before time and money are wasted.
Backed by Y CombinatorThese are some of the tools we connect to. If your team uses something else, we build the connector for it.
One brain serves every team and acts as the connective tissue between them. Software records only one slice of a business. Osseus keeps the relationships between people, experiments, decisions, suppliers, customers, and tools continuously connected with easy data flow. It then attaches each new source and memory as it appears.
spent finding the person who already solved it
lost each time an experiment is unknowingly repeated
lost by every researcher, every week
lost to duplicate supplier spend every year
Every person gets a personal agent that learns how they work. It mirrors their clearance and confidentiality boundaries while staying grounded in the projects, decisions, and people relevant to their role. It surfaces the right evidence, expert, and next action before time and money are wasted.
Avoid repeated work, find the right expert, onboard new hires faster, and preserve hard-won knowledge when people leave.
Failed runs and the reasoning behind them resurface the moment new work starts to rhyme with old work.
See how repeat work gets caught →Keep SOPs and docs from ever going stale, so new hires can quickly understand every project and its owner.
See team workflows →When work blocks, Osseus points to the colleague who already holds the answer, with the evidence attached.
Overcome blockers →Decisions, rationale, and hard-won context remain searchable and useful after teammates move on.
Protect institutional knowledge →Osseus works in the background and inside your existing tools, while its desktop app and permission-aware chat let you ask directly.
Automations3 activeOsseuswatchingRevision 31A failed the same side-load test. Review the Ansys result and ask Daniel Reyes before releasing revision 32C.
PTC Creo
Autodesk
ROS
Benchling
MATLAB
GitHub
W&B
Dotmatics
Oracle
Salesforce
Slack
PubMed
SAP Ariba requestMSA-2025-118
Prior supplier threadExplore by team
Explore each workflow through inline product visuals, concrete examples, and the outcomes it supports.
Warn before a design repeats a known failure and connect simulation issues to field evidence.
Explore workflow →Surface failed runs before work starts, keep protocols current, and compare new literature.
Explore workflow →Find approved vendors already used elsewhere, go straight to the expert who helped, and surface overlapping supplier spend.
Explore workflow →Answer from approved evidence, catch unsupported promises, and route feedback to product owners.
Explore workflow →Stop duplicate experiments, preserve evaluation lineage, and explain model decisions.
Explore workflow →Keep guides current, explain why decisions were made, and preserve project knowledge when teammates leave.
Explore workflow →We’ll work alongside your team to identify the highest-value use cases and build custom solutions around your workflows. The same underlying research brain powers them all. Get a demo.
What teams ask first
A company brain organizes broad business knowledge such as policies, org charts, customer accounts, and general documentation. A research brain understands how technical work actually evolves: the evidence, experiments, failed attempts, design intent, protocol changes, and decisions behind it.
Osseus is a research brain, not a company brain. It connects every question to the relevant experiment, design, decision, source record, and expert, giving R&D teams the technical context they need to move work forward.
Claude Enterprise and ChatGPT Enterprise are strong model interfaces. When connected to company tools, they can retrieve and summarize the current content in those systems. That is useful, but access to the current state is not the same as maintaining a history of how technical work evolved.
Osseus builds a continuous, permissioned memory over time: what was tried, what failed, why decisions were made, and who holds the relevant context. It uses that history to watch active work and proactively surface a past failure, the right expert, a stale document, or new evidence before work is repeated or blocked.
They complement each other, and teams can use them at the same time. Claude for Life Sciences and Benchling AI Scientist help scientists with tasks such as reviewing literature, planning experiments, analyzing data, and writing reports.
Osseus works alongside those tools by connecting their work to knowledge across the rest of your organization: past experiments, documents, conversations, decisions, and the people with relevant experience. Osseus does not replace either tool.
Systems of record manage the controlled object: experimental data, product data, revisions, BOMs, releases, change control, and approvals.
Osseus does not replace them. It reads across them, plus documents, conversations, CAD, CRM, procurement systems, telemetry, simulation, and literature, so it can connect a result or design record to the decision behind it, the person who knows the context, and the next action the team should take.
No. Your systems stay in place. A pilot usually starts with a small set of high-value connectors and one or two workflows where memory gaps already hurt, such as finding prior work, routing to the right expert, keeping SOPs current, or briefing teams before important decisions.
Osseus detects source changes, cites the affected SOP or onboarding content, and proposes an update. It can route that change to the responsible owner and records the approval.
Osseus never silently edits a controlled SOP. The designated owner reviews and approves the change before the controlled document is updated.
Osseus mirrors your existing permissions and keeps personal, team, organization, and client memory separate. An agent can only retrieve what its owner is already allowed to see.
Promotion into shared memory is governed and logged, and deployments can run with your own API keys, cloud, or VPC. Your data is not used to train foundation models. SOC 2, ISO 27001, HIPAA, and GDPR documentation is available upon request. See our security page.
Yes. That is one of the main jobs. Osseus can index lab notes, design reviews, meeting transcripts, tickets, decks, replays, simulations, and internal reports, then match active work to prior failures and lessons learned.
The point is to stop teams from repeating a dead end just because the result was never formally published.
Get a demo
A short conversation about how a connected research memory could accelerate your team. Pick a time that works for you.
Prefer email? hello@osseus.ai
