basys.ai vs OctopusLM

By Ahmed Jemaa, Co-Founder & CEO of Medrecords AI · Updated 20 Oct 2026

If you are weighing alternatives, basys.ai is built for health plans and providers and OctopusLM is built for attorneys and insurers. The choice turns on the output you need and how each prices it. Medrecords AI adds a third option: per-page record review with cited deliverables.

Key takeaways

• basys.ai is a payer prior authorization product for health plans and providers. It is best known for agentic ai for payer authorization workflows.
• OctopusLM is a medical record review product for attorneys and insurers. It is best known for focused ai record review with published pricing.
• Both publish their citation approach differently: basys.ai says not stated, while OctopusLM says source-linked per its site.
• Pricing is the fastest filter: basys.ai is not published and OctopusLM is per-page pricing published on its site.
• Medrecords AI is the third option: per-page pricing, source-linked output and a drafted chronology, demand or report from the same record set.

Side by side

What is basys.ai?

basys.ai is a payer prior authorization product for health plans and providers. Its published scope covers prior authorization, utilization management and clinical audits. It works with clinical and claims data and describes its citation position as not stated. On security it lists a harvard-spinout; homepage shows forbes press and a 'backed by' section (basys.ai).. The company was founded in 2023; its public funding and headcount position is about $2.4m pre-seed, led by nina capital (pr newswire). and 11-50 employees (linkedin); pitchbook lists 20.. It is the better fit when payers, not law firms.

What is OctopusLM?

OctopusLM is a medical record review product for attorneys and insurers. Its published scope covers ai record review and chronologies. It works with medical records and describes its citation position as source-linked per its site. On security it lists hipaa noted on its site.. The company was founded in Not published; its public funding and headcount position is not published. and not published.. It is the better fit when buyers who want transparent per-page pricing.

These are Medrecords AI customers, not independent reviewers. Quotes come from recorded demos and customer calls, shared with permission.

basys.ai is a payer prior authorization product for health plans and providers, with a scope that covers prior authorization, utilization management and clinical audits. OctopusLM is a medical record review product for attorneys and insurers, with a scope that covers ai record review and chronologies. If those 2 descriptions point at different teams, the decision is mostly about which team owns the file, not which feature list is longer.

On pricing, basys.ai is not published, while OctopusLM is per-page pricing published on its site. On citations, basys.ai: not stated. OctopusLM: source-linked per its site. Ask both for a sample where a finding opens the underlying record page, then price the same file.

Demand and drafting

basys.ai covers prior authorization, utilization management and clinical audits. OctopusLM covers ai record review and chronologies. If one of those scopes is the exact output your team hands to counsel, that is the faster starting point. If both can produce it, compare the draft, the template flexibility and how many edits the attorney still has to make.

Medical records and chronologies

Ask both to process the same messy record set, including scans, duplicates, handwritten notes and missing pages. basys.ai works with clinical and claims data and says not stated. OctopusLM works with medical records and says source-linked per its site. The output that survives the source-link check is the one worth a contract.

Pricing and contract

basys.ai is not published. OctopusLM is per-page pricing published on its site. Neither comparison should stop at the monthly figure. Ask whether pricing is per user, case, demand, page or custom; whether revisions and human review are included; whether there are page limits or overages; and what onboarding costs in staff time.

Security and data handling

basys.ai lists a harvard-spinout; homepage shows forbes press and a 'backed by' section (basys.ai).. OctopusLM lists hipaa noted on its site.. Ask for the BAA, the DPA, where data is stored, how long it is retained, and whether client data is used for model training. A security page is a starting point, not the contract.

Workflow fit

basys.ai is the better fit when payers, not law firms. OctopusLM is the better fit when buyers who want transparent per-page pricing. Medrecords AI is the better fit when the job is a cited chronology plus a drafted demand, IME report or deposition summary, without a platform migration.

How to test both on one file

1. Upload the same record set to basys.ai, OctopusLM and Medrecords AI.
2. Open the source link behind one chronology entry or summary line in each output.
3. Compare the draft you would send to counsel, then compare the bill for the same page count.

This is the fastest way to tell a records service from a software platform. The output that survives the citation check is the one worth a contract.

Migration and switching

Switching between basys.ai, OctopusLM and Medrecords AI is less about data export than about trust. Ask each vendor for a named onboarding contact, a sample migration plan, the export formats and a go-live date. Then re-run 3 representative files, including one messy record set, and compare the chronology, the citations and the bill before you cancel anything. A migration that saves a subscription but loses the source trail is not a saving.

Keep the old tool live until one real file has passed the citation check. That single test tells you more than a migration deck, because it shows how the new vendor handles the records your team actually receives.

Where Medrecords AI fits

Medrecords AI is not a replacement for basys.ai when you need a payer prior authorization platform, or for OctopusLM when you need a medical record review platform. It is the third option for the record-review step: upload a record set, get a source-linked chronology and a drafted demand package, IME report or deposition summary, then review, revise and sign it.

That matters when the bottleneck is the file rather than the firm. Medrecords AI publishes its price at 10 cents per deduplicated page, falling to 5 cents at volume, with duplicates free. It reads PDFs, scans, handwriting and DICOM imaging. First case is free on us, with no page cap and no card.

Bottom line

Choose basys.ai when payers, not law firms. Choose OctopusLM when buyers who want transparent per-page pricing. Choose Medrecords AI when the job is a cited chronology plus a drafted demand, IME report or deposition summary, with published per-page pricing and a free first case.

The worst outcome is buying a platform for a problem your team does not have. Run one real file through each option, open the source behind one finding, and compare the draft you would send to counsel. Decide on the output, the citations and the bill, not the demo.

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