USE CASE / 01
Research knowledge search
Locate relevant passages across approved sources with document provenance and access boundaries intact.
Designed outputA source-linked research workspace
Industry intelligence / SoftUs Infotech
AI for Biotech. Turn information into context.
We help biotech and research-led teams build software and AI systems for document workflows, search, analysis support, and internal productivity.
Built around your systems. Reviewed with your team.
Example outputA source-linked research workspace
Designed for
- Biotech
- Research teams
- Healthtech
- Life sciences
01 / The opportunity
Built for the way
your business works.
Research teams work across documents, protocols, and changing project records. Make that information easier to retrieve without presenting generated text as experimental evidence.
What we can connect
- Knowledge search
- Document workflows
- Internal tools
- Analysis support
- Workflow automation
02 / Practical possibilities
Where it becomes useful.
Three starting points for biotech teams. Choose the workflow with the clearest need, accessible inputs, and a person who can review the result.
USE CASE / 02
Document preparation
Extract agreed fields and organise draft summaries so researchers can check them against the underlying material.
Designed outputReviewable document summaries
USE CASE / 03
Internal research tools
Connect project records and handoff steps in a workflow designed around the research team’s existing systems.
Designed outputA structured operational handoff
03 / Connected by design
One considered system.
Not another silo.
Connect the source, the logic, and the experience. Each layer has a job—and a boundary your team can understand.
- 01
Research sources
Approved literature · Internal protocols · Project documents
- 02
Evidence search
Scoped logic, representative tests, visible limitations.
- 03
Researcher review
Useful interfaces, approved actions, human ownership.
Biotech / illustrative architecture
Research sources. Connect your approved inputs: Approved literature, Internal protocols, Project documents. Agree freshness, ownership, and access before integration.
Explore the layers. This is a system concept, not a live product demonstration.
Control is part of the design
Useful.
Reviewable.
Accountable.
Automation should make the work clearer—including when a person needs to step in.
The boundaries we define
Preserve source provenance and version history. Keep scientific interpretation and experimental decisions with qualified researchers.
What we measure together
Retrieval relevance, unsupported statements, review time, and source coverage.
Pilot measures, not guaranteed results.04 / From first conversation to first release
Start focused.
Build with a clear next step.
A practical engagement starts with your workflow and constraints. We agree the scope, review points, and responsibilities before the build.
- 01
Find the first useful workflow
Map the people, systems, and friction. Choose one bounded use case and agree what a useful result looks like.
Scope & success criteria - 02
Build something you can review
Connect approved inputs and develop a working increment. Review real examples, edge cases, and the human handoff together.
Working pilot & evaluation - 03
Make the next step a decision
Compare the pilot with your baseline. Document limitations, ownership, and rollout requirements before expanding the scope.
Findings & rollout plan