Focal vs Zeplyn (2026)
Both answer the question that usually divides this lane the same way, capturing the meeting without keeping the audio, so the decision moves to who each vendor has chosen to satisfy. Focal satisfies the supervisor and the supplier review, naming the United States securities regulator, the Canadian federal privacy commissioner and the Canadian personal information statute, and holding A on regulatory status and A on security certifications. Zeplyn satisfies the client, building a consent mechanism into the product so the person whose conversation is processed is brought into it, and discarding audio afterwards, which earns B on liability and recourse. The inversion is exact and neither half substitutes for the other. Focal names its regulators and gives the client nothing: no statement of what they are told or whether they can see what was recorded about them. Zeplyn reaches the client and names no supervisory instrument at all, describing nothing about how its generated notes enter a supervised firm's records or satisfy retention rules. Both document six of the nine regulatory axes, and both grade C on model risk while claiming accuracy neither publishes.
- You operate across markets and want the authorities named. Focal names the United States securities regulator, the Canadian federal privacy commissioner and the Canadian personal information statute, with compliance stated for firms in both countries, and it holds A on regulatory status and licensure where Zeplyn grades C with no supervisory instrument named.
- Your supplier review wants certification. Focal holds A on security certifications and trust centre where Zeplyn grades B, and pairs it with A on GLBA and data privacy posture on the strength of stateless models, no stored audio or video and no customer data in training.
- The meeting is one part of a wider workflow. Focal handles pre meeting preparation from calendar, customer records and prior notes, pushes output into planning software, forms and onboarding processes, works with or without an interface to connect to, and runs a parallel product for insurance producers.
- The client should be brought into it. Zeplyn builds a consent mechanism into the product and discards audio after processing, which is why it holds B on liability and recourse where Focal grades C. Those are the two mechanisms in this lane that reach the person whose conversation is being processed rather than the firm processing it.
- The systems of record are the destination. Zeplyn assembles agendas from prior conversations, customer records, custodial data and open tasks, then syncs notes, actions and follow ups back afterwards, with an agent layer answering questions across meeting notes, customer records, email and documents.
- You want models built for the domain rather than adapted. Zeplyn's models are stated as custom built for wealth management rather than general purpose, paired with an explicit commitment that client personal information is not used in training.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Focal and Zeplyn are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Focal | Zeplyn | |
|---|---|---|
| Primary category | Wealth & Advisory AI | Wealth & Advisory AI |
| Founded | Not published | 2023 |
| Headquarters | San Francisco, California, United States | New York, New York, United States |
| Website | meetwithfocal.com | www.zeplyn.ai |
Side by Side
| Axis | F Focal |
Z Zeplyn |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Focal
Focal is a productivity platform for financial advisers and enterprise wealth teams that captures client meetings across video, phone and in person, then turns them into notes, tasks, follow up emails, customer record updates, know your customer and onboarding workflows, and auto filled fields in planning software and forms, alongside pre meeting preparation and performance coaching. Models are stateless and do not require transcripts to produce summaries, no meeting audio or video is stored, and no customer data is used to train or fine tune models. The AI FinTech Index grades it A on AI centrality, GLBA and data privacy posture, AI safety and data stewardship, regulatory status and licensure, core systems and integration depth and security certifications and trust centre, with B on operational evidence, institution coverage, autonomy and oversight, deployment residency and model supply chain disclosure, documenting six of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. It names three authorities and instruments across two jurisdictions. Commercial transparency, governance and bias disclosure, model risk management and liability and recourse are graded C.
Source: AI FinTech Index, 2026
Zeplyn
Zeplyn automates the meeting lifecycle for financial advisers and wealth firms, assembling smart agendas from prior conversations, customer records, custodial data and open tasks before a meeting, capturing structured notes and action items during it without recording the audio, then drafting follow ups and syncing everything to the systems of record afterwards. An agent layer runs specialised agents across a firm's meeting notes, customer records, email and documents, and its models are custom built for wealth management rather than general purpose. The AI FinTech Index grades it A on AI centrality, GLBA and data privacy posture, AI safety and data stewardship and core systems and integration depth, with B on operational evidence, commercial transparency, autonomy and oversight, deployment residency, security certifications, AI liability and recourse and model supply chain disclosure, documenting six of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Its liability grade rests on a consent mechanism built into the product and audio discarded after processing. Institution coverage, regulatory status, governance and bias disclosure and model risk management are graded C.
Source: AI FinTech Index, 2026
Common questions
Is Focal better than Zeplyn?
Both capture the meeting without keeping the audio, so the usual dividing line in this lane does not separate them. What does is who each vendor addresses. Focal names three authorities across two jurisdictions and holds A on regulatory status and A on security certifications. Zeplyn names no supervisory instrument and instead builds client consent into the product and discards audio after processing, earning B on liability and recourse where Focal grades C. Both document six of the nine regulatory axes the AI FinTech Index tracks. If you need the vendor to satisfy a supplier review across markets, Focal. If you want the client brought into the process, Zeplyn.
Which one tells the client what is happening?
Zeplyn, and it is the clearest thing separating them. A consent mechanism is built into the product so the client is not an unwitting subject, and audio is discarded after processing so an error or breach has less to expose. Focal grades C: the adviser retains professional responsibility, which is correct, and nothing describes what the client is told, whether they may see what was recorded about them, or how a wrong extracted value is identified once it has been pushed into planning software. Neither vendor offers an accuracy guarantee or a correction route, so the gap is narrower than it looks, and Zeplyn is the only one of the two that involves the client at all. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Does either publish how accurate the notes actually are?
Neither, and both claim accuracy, which is why both grade C on model risk management. Zeplyn states the highest degree of accuracy without publishing a figure. Focal describes a stateless architecture without publishing extraction performance. This index has already recorded the shared exposure across this lane: recognition and extraction vary by accent, age and speech pattern, and the subject here is the client, so a person the system reads less well may have their circumstances and risk attitude documented less accurately in a record that then shapes advice. Ask both for extraction accuracy broken down by speaker population, and expect neither to have it. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Focal and Zeplyn?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified, and the index publishes no composite score. Each documents six of the nine regulatory axes at A or B, against an index average of 2.93 across 489 vendors. Focal holds A on AI centrality, GLBA posture, AI safety, regulatory status, core systems integration and security certifications, with B on operational evidence, institution coverage, autonomy, deployment residency and supply chain, and C on commercial transparency, governance and bias, model risk and liability. Zeplyn holds A on AI centrality, GLBA posture, AI safety and core systems integration, with B on operational evidence, commercial transparency, autonomy, deployment residency, security certifications, liability and recourse and supply chain, and C on institution coverage, regulatory status, governance and bias and model risk.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Wealth & Advisory AI page.
These two answer the architectural question in this lane the same way, since neither retains meeting audio, so the comparison moves to what each discloses afterwards and the positions inverse cleanly. Focal names its regulators and does not reach the client: three named authorities across two jurisdictions, an A on regulatory status, and a C on liability and recourse where the adviser retains professional responsibility and nothing describes how a wrong extracted value is found once it has been pushed into planning software, who is notified, or what the client is told about what was recorded.
Zeplyn reaches the client and names no regulator: a consent mechanism built into the product and audio discarded after processing earn B on liability, while a C on regulatory status reflects that no supervisory instrument is named, no admission process has been passed, and nothing describes how generated notes and drafted client communications enter a firm's supervised records or satisfy retention rules.
A buyer should notice that neither position substitutes for the other, because a regulator named in marketing material does not give a client a route, and a consent tick does not tell a compliance officer whether a generated note is a book or record.
Both grade C on model risk management and C on AI governance and bias disclosure, so neither publishes an extraction accuracy figure while both claim accuracy, and this index has already recorded the shared exposure in this lane, that recognition varies by accent, age and speech pattern and the client is the subject of it.
Focal carries one exposure Zeplyn does not, providing performance coaching derived from recorded conversations, which assesses the adviser as well as the meeting with nothing published on what is measured or who may use it.