Bond Health vs Inato

Why do sites choose Bond over Inato?

• Outreach that starts from the chart. Bond's voice and SMS/text agents contact, pre-screen and schedule the patients Identify finds. They start from what Identify found in the chart, so they skip questions the chart already answers, can explain why the patient was contacted, and can pre-screen and book a visit in one conversation. Bond's site cites a 3x contact rate.^⁠[1],[2] Voice and text outreach is not publicly documented in Inato's materials (September 2026); its eClinPro integration passes ready-to-screen patients to that CTMS to manage outreach and next steps.^⁠[11]
• Consent support in the same workflow. Bond explains the consent form in plain language, answers patient questions and escalates to staff, and it checks the patient's understanding of key points and keeps an auditable record for the site. Bond's site cites 90%+ completion, and the site and PI obtain consent. See Consent.^⁠[1],[2] Informed consent support is not publicly documented in Inato's materials (September 2026).
• Every chart, every open study. Bond screens 10,000+ charts per hour, reading clinical notes, prescriptions and lab results, and ranks matches with the evidence behind them.^⁠[1] Identify also uses imaging data and pathology, radiology and molecular reports, and Bond screens each patient against every open study at the site, so a patient who screens out of one study can be matched to another.^⁠[2]
• Conversations in the patient's language, with a person on request. Voice and text conversations and consent Q&A run in the patient's preferred language, including English, Spanish, Mandarin and many others, and can switch languages mid-call. Patients can reach a person at any time: the agent transfers the call live to a coordinator or books a human callback, whichever the site prefers.^⁠[2]
• Support until close-out. After enrollment, the same voice and SMS agents send visit reminders, book transportation, collect symptoms and diaries, run side-effect check-ins and flag participants at risk of dropping out, and Bond keeps improving outreach messaging until study close-out.^⁠[2]
• Ads when you need more patients. Bond sets up Meta and Google ad campaigns for your studies, and those leads flow straight into Bond's voice and SMS/text agents for pre-screening and scheduling, alongside patients found in your EHR. Like any recruitment material, ad copy needs IRB review before it runs.^⁠[2]
• Integration handled for you, priced per randomized patient. Bond connects to all the major EHRs, including Epic, Oracle Health (Cerner), MEDITECH, athenahealth, eClinicalWorks, NextGen, Veradigm and OncoEMR, and Bond's team handles the integration end to end. Bond charges a volume-based platform fee plus a success fee per randomized patient, with no integration fee, and the success fee is paid only for randomized patients. See pricing.^⁠[1],[2]

As of September 2026, Bond is the only vendor in our comparison table whose public materials describe software that reads EHR notes against a protocol, contacts patients by voice and text, and supports informed consent.

How do Bond and Inato compare, capability by capability?

Bond entries come from Bond's own materials. Each Inato entry carries the year of its source. "Not publicly documented" means we found no public description as of September 2026, not that the capability does not exist; ask Inato directly.

Both products read unstructured chart data against a protocol and explain each decision.^⁠[1],[8] Bond then carries each patient through outreach, pre-screening, scheduling and consent support in the same workflow. See Identify, Engage and Consent.^⁠[1]

Can Bond do what Inato is known for?

Inato's website, blog and support pages emphasize AI chart review that explains each eligibility decision, assessing every patient against all of a site's trials, reading unstructured notes, and connecting to the EHR and CTMS systems sites already use.^{⁠[8],[10],[12]} Here is how Bond covers each one.

• Chart review that explains each decision. Inato's AI assesses patient records against each inclusion and exclusion criterion and gives an explanation and a source for each one.^⁠[8] Bond's Identify screens the site's own EHR against each protocol's criteria at 10,000+ charts per hour and ranks matches with the evidence and traceability behind them, for fewer screen failures.^⁠[1]
• Every patient, every trial. Inato assesses patients against all of a site's active trials.^⁠[10] Bond screens each patient against every open study at the site, so a patient who screens out of one study can be matched to another.^⁠[2]
• Unstructured notes. Inato says its AI understands unstructured data in patient notes.^⁠[8] Bond reads clinical notes, prescriptions and lab results, and Identify also uses imaging data and other unstructured documents, including pathology, radiology and molecular reports.^⁠[1],[2]
• Connections to the systems sites already use. Inato lists EHR connectors that include Epic, athenahealth and eClinicalWorks, and two-way syncs with the CRIO and eClinPro site CTMS.^⁠[12] Bond connects to all the major EHRs, including Epic, Oracle Health (Cerner), MEDITECH, athenahealth, eClinicalWorks, NextGen, Veradigm and OncoEMR. It is a CRIO Certified Partner and integrates directly with CTMS and calendars, and Bond's team handles the integration end to end, with no integration fee.^{⁠[1],[2],[3]}

From there, Bond's voice and SMS/text agents contact, pre-screen and schedule the patients it finds, and Bond supports informed consent in the same workflow. See Engage and Consent.^⁠[1]

How can you test Bond against Inato on your own data?

Bond welcomes a head-to-head pilot. A demo shows the interface, not results on your patients, so give both tools the same protocol and the same patients, then compare the results side by side.

1. 1

   Pick one protocol

   Choose a study where coordinators already know who enrolled, who screen-failed and why, and set it up in both tools.

2. 2

   Use the same patients

   Run both tools on the same patient records, from the same EHR or the same export, so the chart comparison stays like for like.

3. 3

   Compare evidence quality

   For each patient a tool marks as likely eligible, check the chart evidence behind each criterion and how long a coordinator needs to confirm it. Include borderline cases, so easy cases do not hide errors in hard ones.

4. 4

   Measure contact rate and time to first visit

   Track how many eligible patients are reached, how many pass pre-screening, and the days from match to a completed screening visit, whichever tool or team makes the contact.

5. 5

   Read the conversations

   Audit Bond's call and text transcripts for AI disclosure, handoffs to staff and opt-outs. Confirm that each patient agreed to be contacted by text or phone (see TCPA) and that your IRB reviewed the scripts; the guide to IRB and HIPAA rules for patient outreach covers the details.

6. 6

   Compare cost per randomized patient

   Add up each option's fees and the coordinator hours spent on chart review, outreach, scheduling and consent, then divide by the patients randomized. Bond's success fee is paid only for randomized patients; see pricing.^⁠[1],[2]

Our vendor checklist for AI recruitment tools turns these steps into vendor questions, and the recruitment software comparison covers other tools in the category.

How was this comparison made?

Bond Health wrote this page in September 2026. Statements about Inato come only from public sources read on September 24, 2026: Inato's website, its pre-screening and site support pages, its blog and a press release, each cited with its year. Statements about Bond come from Bond's website, product information from Bond Health and an April 2026 presentation to the ACRP New Jersey chapter. We did not test Inato's product and used no private or internal information about Inato. Where Inato's materials are silent on a capability, we say it is not publicly documented rather than guess. Bond Health is not affiliated with or endorsed by Inato.