Hero — three messages tailored to safety-net leaders
The shift that drives us
Decisions need to arrive faster than the current evidence model can support.
Strategic decisions in the safety-net ecosystem now arrive on cycles the analytical workflow behind them was never designed to keep up with. The questions are the same ones leaders have always carried. The time to defend an answer is what changed — and the workflow producing those answers wasn't built to compress.
- 5
Medicaid coverage shifts since '20.
Public health emergency, continuous enrollment, Medicaid unwinding, work requirements, OBBBA. 1
- 2
With no dedicated analytics staff.
Across the broader safety net, the bench to support today's analytics needs is not there. 2
- 75
Rely on safety-net coverage.
Enrolled in Medicaid and CHIP, served by FQHCs, public health departments and others. 3
5 Medicaid coverage resets have hit the safety net since 2020 — public health emergency, continuous enrollment, Medicaid unwinding, work requirements, and OBBBA.
Two in three local health departments have no staff dedicated to informatics, per NACCHO's 2024 Public Health Informatics Profile. Across the broader safety net — community clinics, FQHCs, and public health departments — the bench that would build today's analyses, dashboards, and grant evidence packs isn't there.
75 million people, enrolled in Medicaid and CHIP, served by FQHCs, public health departments and others.
Where decisions stall
The workflow that informs strategic decisions was built for a slower clock.
The shape of the gap is consistent across organizations. Strategy works on the timeline of the decision. The data work behind it operates on the timeline of the queue. Three places the mismatch shows up:
-
When the evidence isn't ready in time.
The biggest moves — entering a market, sunsetting a program, defending a payer rate — get made on the strongest opinion in the room. The information to defend a different answer often exists. It just isn’t there in the window the decision has.
-
When questions route through one queue.
Business users submit a request. The most competent data teams still work through long queues. Weeks later, spreadsheets or a dashboard lands, and by then the deadline has moved or the question has shifted. Every strategic question lands in the same queue. The queue runs on a slower clock than the decision does.
-
When dashboards arrive without answers.
Today’s dashboards provide data without answers. When your leadership team needs recommendations and the evidence to support them, the gap between data and strategic input is the gap in the workflow.
How it works
Ask. Reason. Answer.
We re-engineered the analytical process with artificial intelligence. The same steps an analyst takes — compressed from weeks to minutes.
- ▸ What would it take to become the #1 FQHC in the region on colorectal cancer screening?01
Ask
Type questions in plain English. “Which zip codes should we deploy social workers to decrease food insecurity?” “What quality measure are we closest to achieving top performance?”
- Querying UDS — MyHealth Community Clinic Comparing peer FQHCs in LA County Regional peers identified as benchmark Computing eligible-patient gap Drafting bridge to top performer02
Reason
Agentic analysts leverage governed, authoritative data (Census, HRSA, CDC, CMS, BRFSS) and reason through methodology, findings, and relevance to organization strategic needs.
- CHARTTRENDMAPNARRATIVE
MyHealth trails regional peers by 9.1%. Closing the gap = ~1,370 more screened patients.
03Answer
Get true decision support, the evidence, and the next step. Charts, maps, tables, and narratives, ready to drop in a board deck, a leadership conversation, or grant draft.
The platform
The advanced intelligence layer for America's safety net.
Real strategic intelligence. Built on governed, authoritative data your organization already trusts. So more of your budget reaches the people you serve, not the analytics consultant line item.
Conversational intelligence
Ask questions about markets, programs, or populations. Agentic analysts reason across governed, authoritative data and compose strategic answers with charts, maps, tables, and narrative.
Geographic intelligence
Nation-scale coverage with the granular, community-level depth that matters in practice. Define, aggregate, and visualize composite service areas across your organization’s geographic footprint.
End-to-end analyses
An entire analytics team on demand. Hand off complex, multistep analytical requests — community needs assessments, market evaluations, program narratives. Agents deliver decision-ready, interactive findings.
BYOD (Bring Your Own Data)
Combine your internal data — population health, membership, financials, program and operational data — with authoritative external data for community and population-level insights.
Advanced intelligence platform
Every insight, grounded by design.
The platform rests on a foundation of carefully curated, governed, and authoritative public datasets. Agent analysts attach source and vintage to every quantitative claim by default. Anything that cannot be evidenced is withheld.
The solutions
Decisions, packaged.
High quality, complex analyses safety-net leaders rely on day in, day out. On demand, 10x faster than traditional methods.
-
Needs Assessment
Agent-generated analyses, prioritization, needs and asset mapping, and alignment with your organization's strategic objectives. A HRSA-aligned analysis before the end of the work day.
-
Market Analysis
Service area demographics, insurance and payer mix, and competitive intelligence that drives business growth and innovation, informs program design, and anchors expansion decisions.
-
Grant Evidence
Map health equity gaps, performance improvement opportunities, and population health needs. The defensible evidence layer for grant applications, board reports, and payer conversations.
-
Opportunity Scan
An ongoing read of population shifts, unmet demand, and service line opportunities in your catchment area. Real intelligence to inform your growth decision.
The services
When you need a hand on the wheel.
Strategic engagements that pair Thinqpoint's intelligence layer with experienced safety-net and artificial intelligence advisors. For the moments when the platform alone isn't enough.
- Strategic engagement · ongoing
Strategic Advisory
Advisory for your organization's analytics and AI strategy — readiness, vendor evaluation, and governance. Plus the broader strategic questions they touch.
- Analytics + AI readiness assessment
- Vendor evaluation + enablement
- Analytics + AI governance framework
- Strategic engagement · per project
Analytics & AI Engineering
For the moments when the platform isn't the shape of your problem — deep market analyses, custom AI solutions, data engineering. Built to your unique needs.
- Advanced analytics & BI
- AI solution development
- Data engineering & integration
- Strategic engagement · workshops + bootcamp
AI Capacity Building
AI fluency for safety-net leaders, built on three pillars: mastery, safety, and perspective. Anchored by our Executive AI Bootcamp.
- Mastery — deep, adaptable AI skills
- Safety — safe and equitable use of AI
- Perspective — domain expertise, applied
- Strategic engagement · embedded
Pop Health Analytics Leadership
A senior analytics leader embedded part-time, running your population health analytics — risk stratification, segmentation, outcomes.
- Population risk stratification & segmentation
- Outcomes & impact measurement
- Embedded analytics leadership
Ready to see Thinqpoint on your data?
Thirty minutes. Your service area. Your strategic question. We'll show you what an answer looks like.
FAQ
The questions safety-net leaders ask first.
What we hear most often on first calls. Real concerns, plainly answered — no marketing varnish.
-
How is this different from ChatGPT?
Thinqpoint is not a general-purpose AI assistant. It is engineered from the ground up around the strategic and operational realities of the safety net — the questions, datasets, methodologies, and best practices that community health organizations, FQHCs, health plans, public health agencies, and foundations work with every day. Foundational to our platform are guardrails, evaluation layers, and provenance tracking, all aimed at reducing hallucinations, enforcing analytical best practices, and producing evidence that is credible and defensible. While we do use frontier large language models, they are only a part of our platform.
-
We're not there yet with AI.
Thinqpoint is built around the outcomes safety-net teams need: defensible analyses, credible evidence, and decisions leaders can stand behind. The technology serves that goal — it isn't the point. Every answer surfaces its sources, methodology, and lineage by default, and our evaluation layer continuously tracks how the platform's components perform over time. The diligence your governance committee would otherwise have to build is engineered into the product.
-
We already have Tableau, Power BI, etc. Why this?
Tableau, Power BI, and other BI tools excel at the dashboards your team already builds. Thinqpoint is optimized for a different workflow: producing direct, defensible answers to specific strategic questions — not reports or dashboards that still require the reader to interpret and assemble the answer themselves. The two complement each other rather than overlap.
-
How do you handle hallucinations?
Hallucinations are an engineering problem, not an AI mystery. We have built dedicated infrastructure for evaluation and observability that both flags issues in real time and feeds continuous improvement. Each analytical request is decomposed into a chain of checkpoints — verifying that we are querying the right data, answering the right question, and minimizing bias along the way. We publish ongoing performance, trust, and findings metrics through our Trust & Transparency Center, including an AI Card aligned with the Coalition for Health AI (CHAI) framework.
-
Will this work on our internal data?
Short answer: yes. Every customer starts with access to a vast and growing library of public, authoritative datasets. When you're ready to bring your own data, we work with your team to integrate internal datasets into the same governance and agentic context process our public data goes through.
-
Are you HIPAA compliant?
Thinqpoint is HIPAA compliant (HIPAA Privacy & Security Rules) and is engineered to NIST best practices, including encryption in transit and at rest, role-based access controls, and full audit logging. We're happy to walk through specifics with your Security team.