Tennr
Agentic patient orchestration platform for healthcare intake, payer decisioning and prior authorization
By Tennr · HQ New York, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Specialty providers with heavy fax, referral and order volume, including sleep, DME and complex rehab
- Provider networks and health systems automating pre-visit intake and prior authorization
- Revenue cycle teams targeting first-pass denial reduction and faster cash collection
- Groups that want payer and prescriber phone follow-up handled without adding staff
Ideal size: 25–1,000+ staff people · Multi-provider practice, MSO or health system with high referral volume
Not for
- Buyers looking for a full EHR, scheduling or clinical documentation system
- Very low-volume single-provider practices that cannot justify a platform
- Organizations outside US healthcare payer and referral workflows
- Teams unwilling to let software communicate with payers and prescribers on their behalf
Value metrics scorecard
Time-to-Value
2–6 weeks
~30 days to first production value
Total Cost of Ownership
On request
Enterprise/contract pricing; not published on the vendor site, so quote required
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- None
Company & support
Who is behind Tennr, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- New York, US
How you get support
We haven’t recorded support channels for Tennr yet. Nothing here means unverified — not absent.
Market position
Where Tennr sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Tennr
- Elation Health
- Suki
- Nabla
- Dentrix
- Curve Dental
Add or change companies
Up to 10 companies including Tennr. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Tennr ships in AI, and what it asks of your ecosystem.
AI features shipped
Tennr uses proprietary, purpose-built models (RaeLM) to process fax, portal and order documents, compare them with payer criteria, drive routing decisions and call payers and prescribers. The about page ties this to the founders' Stanford AI/LLM research and a system handling over 10M documents a month. No vendor page states key ownership, AI audit logging or AI pricing.
Your data & models
- Trains on your data
- Trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Tennr is an agentic patient orchestration platform for US healthcare providers. It ingests unstructured documentation from fax, portal and internal orders, classifies and routes it, checks eligibility, works prior authorizations, calls payers and prescribers, and updates charts and orders automatically. Providers use it to cut first-pass denials, speed referral-to-care time and give referrers real-time status visibility. Tennr reports handling over 10M documents a month, and case studies cite 75% faster referral handling and same-day intake.
Frequently asked questions
What does Tennr actually do?
Tennr is an agentic patient orchestration platform for US healthcare providers. It reads unstructured documentation from fax, portal and internal orders, classifies and routes it into operational workflows, finds and requests missing information, verifies eligibility and benefits, submits and tracks prior authorizations, and updates charts and orders. It also places inbound and outbound calls to payers and prescribers and gives referrers real-time visibility into order status.
How does Tennr reduce first-pass denials?
Tennr compares collected documentation against continuously updated payer criteria and turns that into operational decisions: it selects the correct payer and plan, catches coverage changes, re-verifies coverage before care is scheduled, assembles supporting proof and prioritises care plans. The vendor states this slashes first-pass denials and avoids revenue loss.
Will our referral and intake teams have to change how they work?
The vendor states it meets providers where they are and does not force referring or receiving providers to change their processes. Tennr works through the same channels staff use, and automatically updates charts and orders wherever changes are needed.
How is our patient data used to train or improve Tennr's models?
Tennr's privacy policy says it uses de-identified data, meaning information aggregated or de-identified so individuals cannot reasonably be identified, for research and development, to refine its algorithms and machine learning applications and to improve the services. That de-identified data may be disclosed publicly and to third parties, for example in benchmarking information provided to healthcare provider customers. The policy does not describe an opt-out from that use.
What is Tennr's pricing and how long does implementation take?
Tennr does not publish pricing on its website; expect contract-based, enterprise-style pricing and request a quote. No implementation timeline or onboarding fee is published either, so time-to-value should be confirmed during evaluation. Case studies describe faster intake and backlog reduction after go-live but do not state onboarding duration.
Which systems does Tennr integrate with?
The vendor pages reviewed say Tennr ingests data from any source, including fax, portal and internal orders, and that charts and orders are updated automatically wherever changes are needed. Named EHR or practice-management integrations, public API access and an MCP server are not documented on the pages reviewed, so ask the vendor for the current integration list.