Osseus connects the tools your teams already use, scattered documents, and the knowledge in peoples' heads into one permissioned research brain. It gives every person a proactive agent that surfaces the evidence, the expert, and the next action before time and money are wasted.
Workflows
R&D enterprise search
Ask one question instead of searching through dozens of documents and asking multiple people who might know. Osseus searches the connected engineering and scientific systems and returns one cited answer, the accountable owner, and a reviewable next step.
Benchling, LIMS, FlowJo, 
GraphPad, 
PubMed, and 
bioRxiv. It cites each claim, names AODr. Amina Okafor, states uncertainty, and offers a reviewable experiment plan.Proactive experiment context
Osseus compares a new result with internal run history and relevant literature before the team repeats a known process condition.
Benchling records a final titer of 3.9 g/L after CB7a feed began on Day 3. Osseus matches that timing to an unpublished 2024 run that also stalled, then shows that PNPriya Nair moved the feed to Day 2 and reached 4.7 g/L. A related bioRxiv preprint reports the same Day 2 shift. The scientist can compare the protocols or contact Priya before changing the next run.Reproducibility & decision history
Osseus brings comparable internal runs, the validated reference method, open deviations, and the responsible assay lead into view before execution.
Benchling, Osseus shows that only four of eight comparable LumaPlex runs met the accepted range and two had the same high-variability pattern, while reference method ELISA-17 passed nine of ten comparable runs. It also surfaces VAL-118, two open deviations, and MCDr. Maya Chen as assay-development lead so the scientist can compare methods before execution begins.Protocol currency & reproducibility
Osseus checks the controlled procedure cited by a Benchling protocol before a scientist creates the next experiment.
Benchling. Osseus finds that the protocol still cites SOP-204 Rev 6 and a Day 3 CB7a feed, while effective Rev 8 requires Day 2. It attaches deviation DEV-219 and validation record VAL-042, then routes the comparison to LOLena Ortiz in Quality Systems before a new run is created.Onboarding & expertise
New hires use a live map of projects, owners, tools, and decisions. They can answer routine questions from cited sources and bring judgment calls to the right expert.
Benchling, LIMS, FlowJo, GraphPad, and 
Dotmatics relate. Osseus answers routine protocol and ownership questions from cited current sources, identifies AODr. Amina Okafor for exceptions, and prepares training and access tasks for approval.Memory API for your agents
Connect your own agents to the memory layer through an API: permission-scoped evidence, cited relationships, and actions that go through the same human approval.
Benchling, LIMS, FlowJo, GraphPad, and literature evidence within the caller’s access. It proposes a pilot work list; AODr. Amina Okafor approves selected actions; and Osseus writes and verifies only those drafts and tasks.We’ll work alongside your team to identify the highest-value workflows and build custom solutions around them. The same underlying research brain powers them all. Get a demo.
Osseus brings prior failures, decision history, and the accountable owner into the workflow before triage. Every action still requires human approval.
Ask one question instead of searching through dozens of documents and asking multiple people who might know. Osseus searches the connected engineering and scientific systems and returns one cited answer, the accountable owner, and a reviewable next step.
Osseus compares a new result with internal run history and relevant literature before the team repeats a known process condition.
Osseus brings comparable internal runs, the validated reference method, open deviations, and the responsible assay lead into view before execution.
Osseus checks the controlled procedure cited by a Benchling protocol before a scientist creates the next experiment.
New hires use a live map of projects, owners, tools, and decisions. They can answer routine questions from cited sources and bring judgment calls to the right expert.
Connect your own agents to the memory layer through an API: permission-scoped evidence, cited relationships, and actions that go through the same human approval.