Knowledge search
Find information in the approved sources selected for your workflow.
PRIVATE AI SYSTEMS / DEVFLOWYour knowledge.
Your knowledge.
Working within your world.
AI applications built around your team's approved information, access boundaries, and everyday workflows.
/ private workspaceIllustrative example
What is our new-client intake process?
Start with your approved checklist.
Collect the required information, assign an owner, and prepare the request for review.
- Check required information
- Confirm the responsible person
- Prepare for team approval
Review the source before acting.
A useful AI system starts with your business: its knowledge, its people, and the work they need to do.
Trusted by businesses and teams
BUILT AROUND REAL WORKUseful assistance.
Useful assistance.
A considered system.
Choose the capabilities that serve a defined task. Each one needs an agreed scope and a way to check that it works for your team.
Source references
Give people a way to inspect the material behind an answer.
Role-based access
Scope information around the people allowed to use it.
Reviewed drafts
Prepare a starting point for a person to check and complete.
Approved templates
Use the formats and checklists your business has agreed.
Connected workflows
Bring a bounded task into supported business tools.
Human approval
Define who reviews an output before action is taken.
Task evaluation
Test useful examples, failure cases, and access boundaries.
From knowledge
to a useful next step.
Discover the right information, prepare work for review, and connect the process around your people.
DISCOVERFind answers.
Find answers.
Keep the context.
Bring selected business knowledge into one place. Show sources, respect access boundaries, and make uncertainty visible.
Approved information. A source you can check.Sample analysis Synthetic data
Illustrative DevFlow financial analysis agent using synthetic figures. Connected sources are ready. A cursor enters the question: Explain why Q3 revenue finished 17% above plan. The agent responds: Q3 revenue reached $127.5 million against a $109.0 million plan — an $18.5 million gain. Here’s how each product line contributed: Core contributes $13.9 million, Premium $3.9 million, and Enterprise $0.7 million above plan. The response zooms out and highlights the $18.5 million upside, larger deal sizes, and stronger pipeline.
CREATEA first draft.
A first draft.
Ready for review.
Prepare useful documents and responses from approved information and templates. Keep professional judgement with the person responsible.
Your team decides what is used and sent.Draft workspace
ILLUSTRATIVE EXAMPLEA useful first draft.
Prepared from approved information. Checked by your team before it is used.
- Approved templateExample
- Source-linked draftExample
- Team reviewReview
AUTOMATEConnect the work.
Connect the work.
Own the next step.
Move a defined task through supported tools. Plan approvals, exceptions, and recovery before giving a system permission to act.
A clear owner. A considered outcome.Workflow overview
ILLUSTRATIVE EXAMPLEThe next step, made clear.
Connected tools, a visible owner, and a person accountable for the outcome.
- Request receivedExample
- Information checkedExample
- Approval requiredReview
DESIGNED AROUND THE PEOPLE DOING THE WORKYour industry.
Your industry.
Your way of working.
From matter intake to client document collection and clinic coordination, we build around the details of your team’s work. Explore three illustrative starting points.
ILLUSTRATIVE EXAMPLE / Law firms
Where is our approved new-matter intake process?
- Search permitted procedures
- Show the source
- Professional checks the answer
Approved knowledge
A useful starting point.
Find the relevant internal procedure and point staff to its source. Keep matter access separate and leave legal judgement with the responsible professional.
Example firm handbook · Matter intakeA person checks the output before acting.
MORE THAN A MODEL
Privacy is in the details.
A dedicated interface is one part of the system. Plan the data flows, access, evaluation, and operating responsibilities around it.
APPROVED INFORMATION / DELIBERATE ACCESSData & access
Map what is collected, sent, stored, and deleted. Define user roles, source permissions, and separation between clients or matters.
THE RIGHT ENVIRONMENT FOR THE TASKDeployment
Select providers and hosting around the task, data requirements, costs, and operating responsibilities. Private does not automatically mean local or offline.
TEST THE BOUNDARIES / CHECK THE OUTPUTEvaluation & review
Test representative tasks, access boundaries, and failures. Agree who checks the output and which actions need approval.
A SYSTEM YOUR TEAM CAN OPERATEOngoing operation
Agree ownership for monitoring, changes, support, retention, and updates. A useful system needs a plan after its first release.
The right deployment
for your requirements.
Managed model APIs, isolated cloud environments, and self-hosted models offer different tradeoffs. We establish the data requirements and operating budget before choosing a stack. “Private” does not automatically mean local, offline, or compliant.
Explore the options togetherA few useful questions.
Does private AI mean building our own model?
Usually, the first step is a custom application around an existing model, approved knowledge, and business tools. Training or fine-tuning a model is a separate decision, justified by the task and evaluation results.
Where would our data go?
That is a discovery decision. We map each data flow, provider, retention setting, and access boundary before choosing a deployment. A managed API, isolated cloud environment, and self-hosted model have different costs and responsibilities.
Can law, finance, and healthcare teams use it?
We can scope administrative and knowledge workflows with your team. Whether a particular dataset or use is suitable depends on your professional obligations, contracts, jurisdiction, and technical controls. A private workspace alone does not establish compliance.
Can the AI make mistakes?
Yes. Sources, evaluation, access controls, and human review are part of the design. We identify which tasks need approval and which actions the system must never take automatically.
What is a sensible first project?
One valuable task, a limited set of approved information, representative test examples, and a clear owner. Discovery defines what success means before a broader rollout.
OUR DELIVERY PRINCIPLES
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