Enjamb
Enjamb is an AI agent platform that operates inside Slack, Microsoft Teams, and Google Chat to execute biopharma workflows across connected systems like Benchling, Veeva, and Medidata. The agent acts as the requesting user with their permissions, carries context from conversation threads through the entire workflow, and maintains a complete audit trail for every action. The platform also captures institutional knowledge by turning decisions and methods into linked pages with evidence attached to source records.
- AI Agents
- Artificial Intelligence
- Biotechnology
- Software Only
- Enterprise Software
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Biopharma teams working across research, clinical, regulatory, and manufacturing functions face fragmented workflows where critical knowledge, decisions, and context are scattered across disconnected systems and lost when employees leave. Execution of routine but complex tasks requires switching between multiple tools and manually maintaining attribution and audit trails, slowing progress and creating compliance risk.
Solution
Enjamb is an AI agent platform that operates inside Slack, Microsoft Teams, and Google Chat, connecting to a company's existing systems to execute tasks with the user's permissions and identity. The agent can read, draft, and file across scientific systems like Benchling, Veeva, Medidata, LIMS platforms, and internal tools, carrying context from the conversation thread through the entire workflow. Enjamb captures institutional knowledge by turning decisions, methods, and history into linked pages that remain accessible after employees leave, with every important claim traced to the exact source record. Governance is built into the architecture: the agent holds no credentials of its own, acts as whoever asked, and each action resolves to a named person and the run that produced it, with a complete audit history written as the work happens.
Target Audience
Primary users are biopharma teams across research, clinical development, regulatory, quality, manufacturing, and business operations, including scientists, clinical operations staff, regulatory affairs specialists, and program managers who work across scientific and enterprise systems.
Features
- Chat-native interface: Users tag Enjamb in Slack, Microsoft Teams, or Google Chat and assign work, review results, and keep context moving without leaving the thread
- Cross-system connectors: Prebuilt integrations for Benchling, Veeva, Medidata Rave, CDD Vault, Seqera, Latch, plus custom connectors for internal tools and legacy systems no catalog covers
- Institutional memory: Linked pages that preserve program decisions, scientific rationale, methods, and history, with evidence and source trails attached to every claim
- Identity-bound governance: Agent acts as the requesting person within their existing permissions, with user-level access enforcement, read/write scopes, and a complete activity history per run
- Enterprise security: SOC 2 Type II, ISO 27001, HIPAA compliance, SAML SSO, SCIM provisioning, IP allow-listing, data residency controls, and a contractual guarantee that customer data is never used for model training
- MCP server support: Reach Enjamb from Claude or any client that speaks MCP, extending the agent's capabilities beyond chat platforms
- Routines: Turn a procedure into a repeatable process that runs on a schedule