Case studies

AI, put to work.

Find a case study that fits your work. Explore the systems we built, the results, and the people behind them.

Explore the work
  1. Foundation knowledgeGrant documents + supporting materials
  2. Grounded draftAligned with funder priorities
  3. Team reviewRefine, approve, submit
Nonprofit enablement

Less writing. More funding for the mission.

Client: Pacific Whale Foundation

Impact

70%less grant-writing time
as many grant applications submitted
28%funding increase in the first year of use compared with the prior year

The problem

The development team wanted a more efficient grant-writing process without losing the organization's voice and knowledge.

What we built

  • A custom GPT grounded in the organization's work
  • A knowledge base of grant documents and supporting materials
  • A prompt framework aligned with funder priorities
  • Hands-on training so the team could continue using the tools in-house

“We're now able to produce high-quality grants more efficiently than ever before.”

Josh D. Heimowitz · Chief Development Officer

  1. Ask a questionPlain language
  2. Forecasting dataConnected to the core database
  3. Saved analysisPlanning + partner reporting
Global health

Forecasting answers without writing SQL.

Client: Global health nonprofit

Impact

60%+faster forecasting query responses, reported
40%less supply-chain planning time, reported

The problem

Planning cancer-medicine supply across countries meant accounting for patient demand, expiry dates, customs clearance, and inconsistent inputs. Answering operational questions often required a request to the technical team.

What we built

  • A copilot connected to the core forecasting database
  • Plain-language queries for staff without SQL expertise
  • Demand projections to support inventory planning
  • Authenticated access and saved analysis outputs to support leadership and pharmaceutical-partner reporting
  1. CaptureSynchronized wearable cameras
  2. RedactPII + privacy controls
  3. Research deliveryAnnotated video data
AI research

Research data, ready for the next experiment.

Client: Global technology research team

Impact

100sof annotated video hours delivered, reported
Privacy built inPII redaction and synchronized capture

The problem

The research program needed precise video collection, fast changes in direction, and strict privacy handling.

What we built

  • Adaptable video collection operations
  • Synchronized wearable-camera data capture
  • PII redaction and privacy-management controls
  1. Patient intakeChat + voice workflows
  2. PII maskingProtect identifying information
  3. EvaluationTriage workflow evaluation
Healthcare operations

Medical Triage Agent

Client: Healthcare provider

Impact

50%less time spent on initial patient triage
70%of routine patient interactions automated
More time for careClinical staff spend more time on critical care and less on administrative tasks

The problem

Manual patient intake and triage created a high administrative burden for healthcare professionals.

What we built

  • A medical triage agent for patient intake and triage
  • Chat and voice workflows
  • PII masking and evaluation work
  1. ResumesExperience + qualifications
  2. Candidate rankingSkills + role requirements
  3. Existing ATSRecruiter review workflow
Recruiting operations

Resume review moved into the existing hiring workflow.

Client: Nationwide staffing and recruiting agency

Impact

70–80%less resume review time
150%increase in recruiter productivity
95%candidate-job matching precision

The problem

Manually screening thousands of resumes slowed candidate matching and limited recruiter capacity.

What we built

  • A custom LLM-based resume-review system
  • Integration with the existing applicant tracking system
  • Candidate ranking based on experience, certifications, and skills

Anonymized client work

Additional examples of our breadth.

Financial services

AI-based NDA review, with a reported 80% reduction in document-analysis time.

Tourism & research

AI-powered survey analysis for multilingual insights, with a reported 90% reduction in data-processing time.