Software and product engineering
Keep private code and documentation close. Use RepoHub and CoTrinity to move from a question to a scoped, tested change with a durable receipt.
Built for work that carries weight
OmniLore brings grounded answers, permissioned agents, private code and knowledge, and local-model deployment into one workspace. It is built for organizations where the work is sensitive, distributed, or consequential.
The strongest starting points share a need for private information, accountable work, and AI that can stay close to the organization.
Keep private code and documentation close. Use RepoHub and CoTrinity to move from a question to a scoped, tested change with a durable receipt.
Research approved material, compare policy, and prepare a reviewable draft without turning every matter or client workspace into one shared search pool.
Run selected workloads on customer-controlled infrastructure with local models, explicit connections, and workspace boundaries that match the work.
Support internal policy search, underwriting, claims, and audit preparation with traceable workspaces.
Keep research, SOPs, and scientific documentation close to the organization that owns the work.
Connect engineering knowledge, maintenance procedures, supply-chain context, and permitted visual workflows.
Bring project documents, specifications, private repositories, and selected design tools into a governed workflow.
Give teams a private place for institutional knowledge, research corpora, coding, and local experimentation.
OmniLore is not limited to one industry. It is a strong fit when an organization needs several of these at once:
OmniLore is not a compliance certificate. Customer-controlled infrastructure can support an organization’s privacy, security, and data-residency goals, but each customer still owns its policies, contracts, controls, assessments, and required approvals. Local-first is also not automatically air-gapped.
Tell us what your team handles, where the data lives, and which boundaries matter. We can shape a right-sized OmniLore deployment around the work.