A defined research result.
Agree on the baseline, target, operating value, owner, and evidence that will guide the investment.
CROs and research · Custom AI Solutions
Build the AI capability your research operation needs.
Start with a study, sample, record, or procedure operation where speed, traceability, control, or team capacity must improve. Gistia carries it from leadership priority into production and ongoing improvement.
- 01Set directionPriority + result
- 02ImplementProof + production
- 03Operate and improveReliability + value
What you get
One improved research operation. One accountable team.
You get a production capability built around study execution, research systems, controlled data, review authority, and the people responsible for the work.
A working system in production.
Build the software, AI, data, integrations, controls, and user experience around the real research operation.
A team that stays after launch.
Monitor reliability, resolve issues, measure performance, and improve the capability as studies and procedures change.
Where Custom AI can help
Start with the research operation creating the most friction.
The first priority should be specific enough to own and measure, but important enough to improve study execution or research control.
Make progress and constraints visible.
Connect cohorts, milestones, activities, issues, and approved changes in one operating view.
Keep physical and digital work aligned.
Improve sample visibility, inventory control, research records, and the evidence behind decisions.
Keep procedures and ownership current.
Connect approved procedures, review authority, measures, and controlled change to the work they govern.
Strategy, implementation, and support
From operating priority to reliable production.
Each stage produces a decision backed by operating evidence. The work proceeds, changes direction, or expands only when the case supports it.
01Strategy
Define the result and ownership.
Frame the priority, operating value, future workflow, authority, data, risk, and investment decision.
Proceed when the opportunity is material, measurable, and owned.02Implementation
Prove the capability and launch it.
Design the workflow, connect systems and data, test representative work, validate controls, prepare users, and harden production.
Production follows operating evidence, not demo enthusiasm.03Support
Operate, improve, and extend.
Monitor quality and reliability, resolve issues, govern releases, measure results, and prioritize controlled improvement.
Extend when measured results support the next investment.Built for production
AI must fit the operation around it.
The model is only one component. A dependable capability also needs connected systems, human authority, production controls, and continuing ownership.
Fit the real operation.
Design around existing roles, work states, exceptions, approvals, and downstream actions.
Connect the operating environment.
Integrate the sources, applications, identity, and data required for the capability to work.
Keep judgment explicit.
Define what AI prepares, what people decide, and how exceptions and escalations move.
Own reliability after launch.
Monitor performance, security, releases, support, adoption, and measurable operating value.
Research Solutions CatalogIs the operation already defined?
Explore the Solutions Catalog Explore focused solutions for study execution, sample control, research records, and approved procedures.
What research operation should improve first?
Bring the study, sample, record, or procedure workflow creating delay, manual effort, or operating risk.