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Private AI for biotech and research labs

You can see what AI could do.
Getting it into your lab is another matter.

You’ve tried it yourself. You can imagine what it could do for your team. But your research is proprietary, your workflows are controlled, and years of experimental data live inside your environment.

Putting AI to work here is a different challenge.

The roadblocks

What’s standing in the way?

  • “We can’t send that information outside the company.”
  • “There’s too much data to keep uploading.”
  • “We’d need infrastructure and expertise we don’t have.”
  • “This sounds like a project we can’t afford.”

Those constraints are real. They don’t have to put AI out of reach.

A practical way forward

Your work can’t move to AI. AI can move to your work.

Your research, systems, and workflows have reasons to stay where they are. Mossgate brings a dedicated AI system into your environment, where it can work with the information and tools your team relies on.

  • Work with the full context.Connect research records, instrument data, inventory, and schedules so AI can help with work that spans your lab.
  • Keep control of what happens.Decide what the system can access, which actions it can take, and where your team reviews the result.
  • Begin with one useful workflow.Start with a clear purpose, an agreed cost, and room to build as you see what works.

Imagine it in your lab

What could your team do with AI that knows your working environment?

Find information across years of research. Keep track of equipment and supplies. Bring the right evidence together for a decision, then follow through on the work that comes next.

Illustrative workflows below. Each deployment is configured and tested against the tasks and systems agreed with your team.

01 / Find

“We’ve seen this result before. Where?”

Bring relevant experiment records, run notes, and analysis together. Trace a result back to its context, with sources your scientists can inspect.

Illustrative result · research context

Related experiments
Earlier assay records linked to their original entries.
Method changes
Protocol versions and run conditions shown alongside the results.
Supporting analysis
Relevant notebooks and code available for review.

Sources: experiment records, protocol history, analysis notebooks.

02 / Understand

“What could interrupt next week’s work?”

Look across inventory, maintenance, and schedules. Surface the small operational problems that can hold up a run, while there is still time to address them.

Illustrative result · the week ahead

Reagent stock
Available quantity is below the demand in the current plan.
Instrument service
Maintenance is due before a scheduled run.
Schedule overlap
Two teams have requested the same instrument time.

Sources: inventory, maintenance register, instrument calendar.

03 / Act

“The plan changed. What needs to happen next?”

Identify affected bookings, supplies, and team tasks. Prepare the next steps, request review where required, and carry out approved updates through connected tools.

Illustrative workflow · a revised run plan

  1. Check the dependenciesFind related instrument bookings, inventory, and assigned tasks.
  2. Prepare the changesPropose revised bookings and task dates for the team to review.
  3. Follow throughApply approved updates and record what changed in each system.

Connected tools operate within the permissions your team sets.

Start with your work

What would you put it to work on first?

Bring us a workflow your team wishes AI could help with. We’ll talk through what’s possible, what it would need, and whether a focused first deployment makes sense.

Explore a workflow with us

A 30-minute introductory conversation.

Opens an email draft. Tell us about the workflow and send a few suitable times.

How it fits

Built around your environment. Controlled by your team.

The system runs on dedicated hardware at your site and connects to the internal data and tools you approve. Your IT team can inspect the connections, permissions, and operating procedures. Internet access is blocked by default.

Your internal network Illustrative local deployment
Your teamApproved users and roles
Local AI systemModels, agent environment, and tools
Connected lab systemsData stores, instruments, and inventory

Model processing, knowledge stores, tool use, and workflows stay inside this boundary. No external model provider is required.

The work stays inside your network

The local system stores its retrieval indexes and knowledge graphs, uses tools, and executes workflows within your environment. Your data and the results of that work are not sent to an external model provider.

Connections are documented

The manifest identifies approved internal endpoints and the restrictions on each connection. External access is blocked by default.

You control access

You hold the admin credentials, encryption keys, and configurations. Your team defines which tools the system can use, what it can change, and where human review is required. Maintenance access requires your approval and can be revoked.

Isolated installations are available

For stricter environments, an air-gapped installation is designed separately, with controlled data transfer and maintenance procedures agreed from the start.

Maintenance is part of the design. Updates, backups, and support follow a documented procedure agreed with your IT team. Any exception to the network policy requires your approval.

Do we need a server room full of GPUs?

A single, purpose-built machine can be enough to get started. The hardware is selected for your workloads, data, and number of users. We define the requirements and cost before you commit to a deployment.

Can Mossgate also work with cloud models?

Yes, where your policies allow them. That is a separate deployment with its own data flows and controls; the local-processing commitments above describe the on-premises offering.

How Mossgate delivers

Start with a useful first deployment.

  1. 30-minute callDiscuss fit and constraints
  2. 90-minute assessmentReview workflows and controls
  3. Written proposalAgree scope, hardware, and cost
01 / Assess

Suitability assessment

A 90-minute working session to identify useful workflows, the data they need, and the controls they require. You receive a written findings memo, including where further review is needed. You keep it whether or not you hire us.

Assessment scope and any fee are agreed before the session.

Start with an introductory call
FINDINGS MEMO — ILLUSTRATIVE EXCERPTExample
Search approved SOPsPILOT
Draft SOP summariesPILOT
Autonomous batch releaseHOLD

Pilot conditions: approved documents only, existing access permissions, source references, and staff review of summaries. Autonomous batch release is outside this proposed pilot.

02 / DEPLOY

Private deployment

A local model, an agent environment, and connected tools on dedicated hardware sized for your workloads. We build retrieval and knowledge graphs where useful, define permissions and review points, and test the agreed workflows. Documentation and staff training are part of the handover.

Designed for your network and access policy
CONNECTION MANIFESTREV A
model weights — local diskLOCAL
document store — your NASLOCAL
external model providersNONE

Every endpoint the system can reach, written down. Nothing undocumented ships.

03 / OPERATE

Managed operation

Ongoing maintenance and support: tested updates, monitoring, and a written change report. Backup ownership and improvement work are defined in your support plan. You own the system and its configuration.

See retainers
MONTHLY REPORT — ILLUSTRATIVEExample
patches + model updates6 APPLIED
restore testPASSED
agent tasks handled1,204

A clear summary of maintenance, activity, and recommended next steps, with supporting records available for review.

What comes with your deployment
Hardware plan
A workstation or server sized for your tasks, users, and data.
Models, tools, and workflows
A model evaluated on agreed tasks, a configured agent environment, and tools with defined permissions for each workflow.
Knowledge and data
Connections to approved stores, with retrieval indexes and knowledge graphs where the work calls for them.
Connection manifest
The approved internal endpoints and the network restrictions your IT team can inspect.
Operations and recovery
An architecture overview, operations manual, recovery procedure, and clear backup responsibilities.
Staff training
A hands-on session using your deployed system.

The team behind Mossgate

A clear point of responsibility.

Aaron Williams is your lead contact, coordinating assessment, deployment, and ongoing support. Your proposal identifies the people and responsibilities involved, so you know who handles the system and who to call.

Aaron Williams, founder and principal engineer of Mossgate
Aaron WilliamsFounder & principal engineer
30+ yrs

IT and infrastructure across Microsoft, Accenture, and a Seattle-area family office.

8 yrs

Working inside Seattle GxP labs, with validated systems, documentation, and audit requirements.

Daily

Operates production agent systems for real clients today: monitored automations, tested restores, written change history.

Documented

Clear documentation, with the supporting evidence available for review.

Managed operation

Ongoing support, priced in plain sight.

The first proposal separates hardware, deployment, and ongoing support, so you can assess the full commitment. The plans below cover monthly support after deployment. Every plan has a named point of contact.

Watch

$2,500
per month

For teams with their own IT support and backup operation.

  • Monitoring and alerting
  • Patches and model updates, tested before install
  • Monthly written report
  • Quarterly review call

Operate

$5,000
per month

For teams that want ongoing system care and improvements.

  • Everything in Watch
  • Backups with tested restores
  • Agreed monthly workflow improvements
  • Monthly working session with your team
  • Direct access to your assigned engineer

Embedded

$9,000
per month

For labs that need regular on-site engineering support.

  • Everything in Operate
  • Weekly on-site presence
  • Capability builds within agreed scope
  • Compliance documentation upkeep
  • Vendor and auditor liaison

Your written proposal defines support hours, response targets, covered systems, and the time allocated to improvements or new builds. Backup and restore responsibilities are agreed before service starts.

Discuss the right level of support

Your next step

Start with the work you have in mind.

You don’t need a technical specification to start the conversation. Tell us what your team wants to do and what has been getting in the way.

Explore a workflow with us

A 30-minute introductory conversation. Opens an email draft.

aaron@mossgate.aiServing Seattle biotech and research teams.