An AI-driven document automation layer for healthcare that replaces manual fax processing and data entry with high-accuracy extraction and EHR syncing.
Excellent for high-volume specialty practices drowning in faxes, weaker for small clinics with low administrative overhead.
Analysis based on product data, pricing structure, traffic signals, and public user sentiment.
Who Should Use Tennr?
Typical users
Operations managers and administrative staff at mid-to-large specialty healthcare practices or referral-heavy clinics.
Maturity fit
scaling to advanced
Choose this if…
- Your staff processes hundreds of faxes or referrals daily
- Manual data entry is causing significant delays in patient scheduling
- You need to extract data from messy, handwritten, or low-quality medical documents
- Your priority is reducing administrative burnout over keeping software costs low
Skip this if…
- You have a low volume of incoming paper or fax documents
- Your EHR already provides automated intake for your specific specialty
- You require a self-serve tool with transparent, low-cost pricing
About Tennr
Tennr is a specialized automation platform built to solve the healthcare industry's reliance on faxes and unstructured documents. It uses machine learning to read medical records and automate the administrative tasks that typically require human data entry.
What it actually does
The tool intercepts incoming faxes, extracts patient and clinical data, and automatically populates the practice's Electronic Health Record (EHR). It also automates follow-up tasks like patient outreach and scheduling based on the information it extracts.
What makes it different
Unlike generic OCR tools, Tennr is built specifically for the 'messy' reality of healthcare documents, including handwriting and poor-quality scans. It focuses on the entire administrative workflow—from document receipt to EHR entry—rather than just providing a data export.
Key Features
AI Document Reading
Extracts data from blurry, slanted, or handwritten faxes that break standard OCR.
EHR Integration
Pushes extracted data directly into systems like Athenahealth, eClinicalWorks, and Epic.
Automated Triage
Categorizes incoming documents by urgency or type to prioritize urgent referrals.
Patient Communication
Triggers automated texts or calls to patients once a referral is processed.
Workflow Customization
Allows practices to define specific rules for how different document types are handled.
Audit Logs
Maintains a record of all automated actions to ensure HIPAA compliance and data integrity.
Insurance Matching
Cross-references extracted insurance info with provider networks automatically.
Pricing
Contact Sales
- Custom EHR integrations
- Unlimited document processing
- Dedicated implementation support
- HIPAA-compliant data handling
Pricing checked 4 months ago
Pricing guidance
- Increasing document volume across multiple locations
- Requirement for deeper integration with specialized EHR modules
- Need for automated patient outreach features
- Implementation fees may apply
- Integration depth depends on the specific EHR's API capabilities
- Accuracy may vary based on the specific handwriting styles of referring doctors
Premium enterprise positioning justified by the high labor costs it replaces.
Pros & Cons
Strengths
-
High accuracy on 'messy' data
Excels at reading low-quality faxes and handwriting, which are common in healthcare but difficult for standard automation tools.
-
Significant reduction in lead times
By automating the intake process, practices can schedule patients hours or days faster than manual processing allows.
-
Deep EHR workflow integration
It doesn't just extract text; it maps data to specific fields in the EHR, reducing the need for staff to 'clean up' the AI's work.
-
Specialty-specific logic
The system can be tuned to recognize the specific data points required for different medical fields like oncology or radiology.
Weaknesses
-
Opaque pricing model
There is no public pricing; every deal is custom, making it difficult to evaluate cost-effectiveness without a sales cycle.
Affects: Practice managers and small business owners
-
Implementation overhead
Requires significant coordination with IT and clinical staff to ensure the automation matches existing complex workflows.
Affects: IT departments and operations leads
-
High-volume requirement for ROI
The cost and setup time are difficult to justify for small clinics that only receive a handful of faxes per day.
Affects: Small independent practices
Real User Sentiment
Generally positive among operations leaders who value the accuracy of data extraction over traditional OCR.
Users tend to like
- Ability to read handwritten referrals
- Reduction in staff overtime for data entry
- Responsiveness of the implementation team
- Seamlessness of the EHR data push
Users commonly complain about
- Lengthy initial setup process
- Lack of transparent pricing
- Occasional errors in complex medical terminology
Recurring tradeoffs
- High upfront cost and setup time vs. long-term labor savings
Happiest users
Large specialty medical groups with centralized referral departments.
Often frustrated
Small clinic owners looking for a simple, low-cost tool they can set up themselves.
Use Cases
Referral Processing
Automatically moving patient data from a faxed referral into the EHR.
Insurance Authorization
Extracting clinical notes to support prior authorization requests.
Medical Record Indexing
Sorting and filing incoming patient records into the correct EHR folders.
Patient Onboarding
Using extracted data to pre-fill digital intake forms for new patients.
Lab Result Entry
Automating the entry of lab values from paper reports into structured EHR fields.
Frequently Asked Questions
How much does Tennr cost?
Tennr does not publish its pricing. It uses a custom enterprise model based on your document volume, the number of locations, and the complexity of your EHR integration. You must contact their sales team for a quote.
Is Tennr HIPAA compliant?
Yes, Tennr is built for healthcare and maintains HIPAA compliance. They sign Business Associate Agreements (BAAs) with their clients and use encryption for data at rest and in transit.
Which EHRs does Tennr integrate with?
Tennr integrates with most major EHR systems, including Athenahealth, eClinicalWorks, Epic, and Modernizing Medicine. The depth of integration can vary depending on whether the EHR has an open API or requires a custom bridge.
How does Tennr compare to Notable Health or Akasa?
While Notable and Akasa also focus on healthcare automation, Tennr differentiates itself by specializing heavily in the 'reading' of unstructured, messy documents like faxes. Notable often focuses more on the patient experience and front-end intake, while Akasa is heavily focused on the revenue cycle.
Can Tennr read handwritten doctor notes?
Yes, one of Tennr's primary selling points is its ability to use advanced AI models to interpret handwriting and low-quality scans that traditional OCR software typically fails to read.
Does Tennr require a lot of IT resources to set up?
It requires some IT coordination, particularly for EHR integration and fax server access. However, Tennr typically provides an implementation team to handle the bulk of the configuration and mapping.
Why trust this page?
This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.
Funding & Company
Founded
2021
Stage
Series c
Total Raised
$162M
Latest Round
Series C (Jun 2025)
Notable Investors
Tennr has raised a total of $162 million, culminating in a $101 million Series C round in mid-2025 led by IVP. This substantial backing from elite venture capital firms like Andreessen Horowitz and Lightspeed provides significant financial stability. The capital is aimed at scaling its AI-powered healthcare automation platform and expanding its market presence.
Market Signals & Traffic
Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.
- Estimated visits
- 0
- Global rank
- —
- Snapshot
- May 2026
- Traffic trend
- —
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