Healthcare data your CFO
can actually use.
We pull your claims, clean the codes, and show you where the money is going by condition, member, and provider. Then we model where it goes next so renewal season stops being a guess.
AI on claims
Pattern detection across ICD, CPT, and Rx
Code-level
Cleaned and normalized at ingest
3 to 10 years
How far ahead we model risk
Platform + partners
Bring your care providers, plug them in
Why healthcare spend keeps climbing faster than anyone budgets for
It’s not that disease exists. It’s that the financial exposure builds upstream, where standard quarterly reports can’t see it yet.
Chronic disease gets more expensive every year you ignore it
Stage progression is measurable. If you can't see it coming, you absorb the cost when it arrives — usually after it's already baked into next year's trend.
Big claims rarely come out of nowhere
Most hospitalizations and specialty escalations show up in the claims data months or years before they hit. The signals are there. Most reporting just doesn't look for them.
Annual reports tell you what already happened
The standard utilization report answers questions about last year. That's useful. It also won't tell you what next year costs if nothing changes.
Pharmacy spend is getting harder to predict
Specialty drugs, GLP-1s, and the specialty pipeline are taking a bigger slice of plan cost every renewal. Without benchmarking, you're negotiating blind.
CFOs are absorbing trend on the balance sheet
For self-funded employers and municipalities, healthcare trend lands directly on the books. Planning a budget without forward-looking models means defending it without one too.
Rural access gaps quietly become expensive
When intervention gets delayed, manageable conditions turn into high-acuity events. The access problem and the cost problem are the same problem.
One analytics core. The same shape
whether you're one site or fifty.
Diametrics.ai handles the heavy lifting: claims ingest, pattern detection, financial modeling, secure reporting. The platform stays consistent as your partner network grows.
Claims analysis with ML
AIWe ingest and normalize ICD, CPT, and Rx data, then look for patterns, anomalies, and cost signals across payers.
Diagnostic pattern detection
AIModels tie claims back to chronic disease categories and the progression pathways that tend to drive cost later.
Predictive risk stratification
AIHCC scoring at the member level using claims history, SDOH layers, and behavioral signals — not just last year's spend.
Multi-year disease modeling
Track how chronic conditions move through stages across the population over multiple years.
Financial forecasting
AIProject 3 to 10 year cost exposure under different scenarios, with the model trained on your own claims history.
Stop-loss exposure modeling
Attachment point analysis and high-cost claimant trajectories you can hand to your reinsurer.
Drug spend transparency
NADAC benchmarking, specialty drug visibility, GLP-1 tracking, and Rx cost tied back to the condition driving it.
SDOH layers
Social determinant data joined to geographic risk and access constraints — useful when the cost problem is really an access problem.
Reporting dashboards
Role-based access to scorecards, trend views, cost attribution, and the employer-facing outputs your benefits team actually shares.
API-first integration
Secure connectivity for TPAs, vendors, and downstream systems. Plug it in without a six-month implementation.
API-first, so adding a vendor or TPA later doesn't mean rebuilding anything.
One platform. The right partners around it.
Diametrics.ai is the data and analytics platform. Care delivery stays with the partners best positioned to do it. Data flows between them through a single API surface so the cost picture updates as care actually happens.
Diametrics.ai
Claims, modeling, and reporting in one place. The same core stays in place whether you're running one site or a statewide network.
- Claims ingest and code-level normalization
- Predictive risk and HCC scoring
- Multi-year cost forecasting
- Stop-loss exposure modeling
- Drug spend transparency with NADAC benchmarking
- Role-based reporting and dashboards
Care delivery network
We work with the providers and vendors already doing the care. Your existing relationships fit. New ones plug in through the same API.
Primary care
Virtual and in-person primary care groups serving the populations on the platform.
Specialty care
Specialist groups and condition-focused programs that handle escalations identified in the data.
Remote monitoring
Wearables, biometric devices, and monitoring vendors that fill in the data between visits.
Care management
Engagement, follow-up, and care coordination teams that act on the platform’s risk signals.
Health tech
Diagnostic, AI, and digital health vendors that plug in through the same API surface.
One analytics core
The platform normalizes claims, runs the models, and produces the reporting. It stays the same whether you're working with one partner or a dozen.
Partner-friendly by design
Bring your existing care relationships. We integrate with them instead of replacing them. New partners can join without a ground-up rebuild.
Data flows both ways
Partner activity feeds back into the platform so cost attribution and trend models update as care actually happens.
Bring your existing care relationships. We integrate with them.
Diametrics.ai is the data layer. Your care partners are the delivery layer. We don't replace your providers, vendors, or clinical teams — we connect them through one platform so the numbers stay tied to what actually happened.
Primary care
Virtual and in-person primary care groups that reach your members where access is thin or inconsistent.
Specialty care
Specialist groups and condition-specific programs that pick up the cases the data flags as escalation risk.
Remote monitoring
Wearable, biometric, and kinematic vendors whose data fills in between visits so you see change without booking another appointment.
Care management
Engagement, follow-up, and care coordination teams that act on the platform’s risk signals before things land in the ER.
Health tech & AI
Diagnostic, AI, and digital health vendors that plug in through the same API surface — useful when something actually works, not the day after the press release.
Works at any size
Start with one employer or one hospital and one care partner. Add more on either side later. You're not signing up for a statewide rollout to get started.
- Per employer
- Per hospital
- Per region
- Statewide
- Multi-state
Stop reacting to healthcare cost. Start planning around it.
If you're self-funded, healthcare trend lands on your balance sheet. Traditional benefit design only reacts after the cost is already in. We turn your claims data into forward-looking models so you can see risk early, plan multi-year exposure, and tie care programs to numbers your finance team trusts.
What changes
We're a modeling and reporting platform, not a savings guarantee. Projections are scenario models built from your claims data.
What you get
- Stop-loss exposure modeling with attachment point analysis
- Five-year cost projections, with scenarios you can actually compare
- Risk stratification by condition and cost tier
- Drug spend transparency, NADAC-benchmarked
- HCC risk scoring, year over year
- Budget reporting that holds up in front of a CFO
From line item
to a number you can defend.
A different shape of revenue for rural hospitals
Episodic-only model
- →Volatile revenue
- →Big swings in acuity
- →Unpredictable census
- →Always reacting
With Diametrics + partners
- →Steadier reimbursement
- →Earlier intervention
- →More consistent volume
- →Operating economics that hold up
Big acuity events make revenue lumpy. Steady contact with patients makes it less so. We give CAHs a platform plus partner integrations for monitoring, follow-up, and remote access on top of what they already do.
Less of your revenue depends on a packed ER night. More of it comes from being the place a patient stays in contact with all year.
The point is to stabilize how revenue flows, not to cut needed care. Diametrics.ai provides reporting and tooling — not clinical protocols.
Monitoring between visits
Data keeps coming in when the patient is at home, not just when they walk through the door.
Ongoing patient contact
Coordination tools that keep touchpoints consistent instead of episodic.
Reach without driving everyone in
Partner sites extend care across rural geographies without funneling everything to one location.
Telehealth that fits the workflow
Virtual visits and follow-ups built into the same system as the rest of the care pathway.
Reporting tied to reimbursement
The platform connects what was done to what got paid, so finance and clinical see the same numbers.
More capacity, same headcount
Scale how much care you can deliver without scaling staff one-for-one.
Built for the people who own the cost when it goes wrong.
Self-funded employers
What you're dealing with
- Trend lands directly on the balance sheet
- Stop-loss exposure is hard to project forward
- Specialty and pharmacy spend is a black box
From the platform
Claims normalization, risk stratification, five-year cost forecasts, and stop-loss modeling.
From your partners
Remote monitoring, employer engagement portals, ongoing care coordination.
Municipalities
What you're dealing with
- Defending the line item to elected officials and the public
- Trend pressure on a taxpayer-funded plan
- Not enough analytics horsepower in-house
From the platform
Plan-level financial reporting, condition-level attribution, and outputs that read clearly in council and board meetings.
From your partners
Community access points, telehealth, and workforce support.
Critical access hospitals
What you're dealing with
- Revenue swings with the next big acuity event
- Hard to staff up in rural geographies
- Reimbursement tracks an unpredictable census
From the platform
Claims-tied reporting, multi-year disease modeling, and reimbursement analytics.
From your partners
Monitoring, structured workflows, and remote care extensions.
Rural health networks
What you're dealing with
- Distance turns small problems into expensive ones
- Workforce shortages cap reach
- Sites and systems don't talk to each other
From the platform
SDOH layers, risk scoring, and geographic exposure modeling.
From your partners
Remote primary and specialty care, workforce extension, telehealth.
Care delivery organizations
What you're dealing with
- Coordinating across sites and payers
- Measuring performance across spread-out populations
- Tying finances back to actual care activity
From the platform
API-first integration, secure dashboards, and condition mapping.
From your partners
Condition workflows, lab integration, and care coordination tools.
The care happened. We make sure the cost line reflects it.
Diametrics.ai is a modeling and reporting platform. We don't give medical advice and we don't guarantee outcomes.
Care to cost, end to end
Tie clinical activity to dollar amounts you can trace from diagnosis to claim line.
Three to ten year exposure
Project long-term cost across your chronic-disease population using your own claims history.
What-if scenarios
Model the dollar impact of potential interventions. We don't project guaranteed savings — that's not honest.
Stop-loss planning
Attachment point analysis and high-cost claimant trajectories you can take into renewal conversations.
CFO and board reporting
Outputs shaped to fit budget cycles and board packets, not just analyst dashboards.
Public-sector documentation
Reports built to hold up under grant requirements, council reviews, and public plan disclosures.
For the record: Diametrics.ai is a modeling and reporting platform. We don't give medical advice and we don't guarantee savings. All projections are scenarios built from your claims data.
HIPAA-compliant. No shortcuts, no “we’ll fix that later.”
PHI doesn't go through third-party tools that aren't covered. Every deployment is auditable end-to-end. If you want to see the control list, ask.
HIPAA-compliant hosting
Cloud environments under signed BAAs and data processing agreements. Nothing else.
AES-256 at rest
Data encrypted at rest with AES-256, keys managed through a dedicated KMS.
TLS in transit
TLS 1.2+ on every network boundary. Nothing crosses the wire in the clear.
Role-based access
Permissions are scoped, so people only see the data their role actually needs.
Immutable audit logs
Every access, export, and config change is logged in a way you can't quietly edit later.
API key rotation
Credentials rotate on a schedule. No long-lived keys sitting in someone's notes.
Build the foundation.
Not another overlay.
Treat healthcare spend like a system you can plan around, not a line item that surprises you every renewal. Same data, different question.
We work with self-funded employers, municipalities, critical access hospitals, and rural health networks. No minimum population.