Focal vs Zeplyn (2026)
Both answer the question that usually divides this market the same way, capturing the meeting without keeping the audio, so the decision moves to who each vendor has chosen to satisfy. Focal satisfies supervisors and supplier reviews. It names the United States securities regulator, the Canadian federal privacy commissioner and the Canadian personal information statute, and documents its security certifications in detail. Zeplyn satisfies the client. It builds a consent mechanism into the product so the person whose conversation is processed is brought into it, and discards audio afterwards. 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 claim accuracy and neither publishes it.
- 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. Zeplyn names no supervisory instrument.
- Your supplier review wants certification. Focal documents its security certifications and trust center in detail, where Zeplyn documents them in part. Its privacy terms rest on 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. It 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, where Focal describes nothing about what the client is told. Both mechanisms 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
Select any grade to read the note behind it.
| 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. It captures client meetings across video, phone and in person, then turns them into notes, tasks and follow up emails. It also handles 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. According to the AI FinTech Index, it publishes most on its AI, its privacy terms and how customer data is used, along with its regulators, integrations and security certifications. It names three authorities and instruments across two jurisdictions. It says little about pricing, bias and fairness, accuracy and validation, or what happens when it is wrong.
Source: AI FinTech Index, 2026
Zeplyn
Zeplyn automates the meeting lifecycle for financial advisers and wealth firms. Before a meeting it assembles smart agendas from prior conversations, customer records, custodial data and open tasks. During it, it captures structured notes and action items without recording the audio. Afterwards it drafts follow ups and syncs everything to the systems of record. An agent layer runs specialized 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. According to the AI FinTech Index, it publishes most on its AI, its privacy terms, how customer data is used and its integrations. On what happens when it is wrong, it builds a consent mechanism into the product and discards audio after processing. It says little about who it serves, its regulators, bias and fairness, or accuracy and validation.
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 market does not separate them. What does is who each vendor addresses. Focal names three authorities across two jurisdictions and documents its security certifications in detail. Zeplyn names no supervisory instrument and instead builds client consent into the product and discards audio after processing. If you need the vendor to satisfy a supplier review across markets, Focal. If you want the client brought into the process, Zeplyn. 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.
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. With Focal, the adviser retains professional responsibility, which is correct. 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. Still, of the two, only Zeplyn 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. Zeplyn states the highest degree of accuracy without publishing a figure. Focal describes a stateless architecture without publishing extraction performance. Recognition and extraction in this kind of product vary by accent, age and speech pattern, and the subject is the client. A person the system reads less well may have their circumstances and risk attitude documented less accurately in a client file that then shapes advice. Neither publishes extraction accuracy broken down by speaker population. 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.
Where does each publish the most, and the least?
Focal publishes most on its AI, its privacy terms and data handling, its regulators, integrations and security certifications. It says little about pricing, bias, accuracy testing or liability. Zeplyn publishes most on its AI, its privacy terms and data handling, and its integrations. It says little about who it serves, its regulators, bias or accuracy testing. 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.
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 market the same way, since neither retains meeting audio. So the comparison moves to what each discloses afterwards, and the positions are an exact inverse. Focal names its regulators and does not reach the client. It names three authorities across two jurisdictions.
Yet 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. It builds a consent mechanism into the product and discards audio after processing.
But 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. Neither position substitutes for the other. 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 say little about accuracy and bias.
Neither publishes an extraction accuracy figure, while both claim accuracy. Recognition in this kind of product varies by accent, age and speech pattern, and the client is the subject of it. Focal carries one exposure Zeplyn does not. It provides 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.