Zenlytic
Zenlytic is an enterprise AI data analyst whose agent Zoë builds her own governed semantic layer, answers questions with citations, and delivers decks, Excel models, and reports.
Zenlytic is an AI data analyst built for enterprises, delivered through an agent named Zoë. Rather than handing back a chart to interpret, Zoë investigates the question, explains what she found, and produces an analysis a person can take straight into a meeting, including written narratives, visualizations, Excel models, Word reports, and slide decks. The company positions the product for operations, finance, and go to market teams at large organizations, and it holds a very high rating on Gartner Peer Insights with customers among the Fortune 500. Its whole design philosophy rests on trust, explainability, and depth, so that self serve users actually believe the answers they receive.
The foundation is a governed context layer, essentially a semantic model of a company's metrics and definitions. Zenlytic's notable move is that Zoë can build this layer herself. With a capability called Self Learning, the agent connects to a data warehouse, identifies the relevant tables, interviews the team, reads the schema, and constructs the semantic layer in the background, producing trusted answers with citations without requiring months of data engineering. The company frames this as going from zero to governed in under an hour. Zoë can also work with a semantic model a company already has, or none at all, building one as she answers and making those definitions reusable in dashboards and other workflows.
Trust is enforced through transparency and human review. Every figure Zoë returns carries citations that show its complete lineage, and a Clarity Engine maps each generated query back to the governed context so business users verify the reasoning rather than the SQL. Hovering over any number reveals its source, filters, and the metrics behind it. Data teams verify and promote definitions, marking answers as trusted, and every question Zoë answers is logged and auditable across users and channels, which shows what is working and which concepts to promote next. Governance is built in, with role based access so each person sees only the data appropriate to them, and the platform is SOC 2 compliant.
Two more capabilities round out the product. Zoë has a memory that retains patterns and definitions from earlier queries, so asking the same question twice returns the same answer instead of a new interpretation. She also watches the metrics that matter, surfaces what changed and why, and delivers the read out inside Slack or Microsoft Teams where teams already work. Pricing is tied to how many queries are sent to the warehouse per active user, aligning cost with use, and Zenlytic offers self serve signup for teams of up to ten people alongside enterprise plans. It suits organizations that want governed, explainable analytics that business users will actually trust.
Vendor details
Canonical URL
https://zenlytic.com
Category
Data analyst agent
Company status
independent
Use cases & customers
In practice
A new customer points Zoë at a Snowflake warehouse, and through Self Learning she identifies the tables, builds a governed semantic layer, and returns trusted answers with citations in under an hour.
A marketing lead asks Zoë to build a board deck, and she returns it with a recommendation on which channels to scale and cut, each number traceable to its source.
A data team reviews Zoë's answers in a verification queue, promoting correct metric definitions to trusted so business users across Slack get consistent, governed results every time they ask.
Sources & related URLs
Research notes
Score 10.0 (8F/4P/2N). NEW Data analyst lane LEADER (above Querio 9.5). Best-evidenced top vendor: SOC 2 compliant (NAMED), Gartner Peer Insights 4.9/5 + 100% recommend, Fortune 500 customers, independent PRWeb/Dealroom/G2 corroboration. confidenceLevel HIGH. Enterprise AI data analyst; agent = Zoë (CEO/co-founder Ryan Janssen, NYC). Fulls: Int (warehouse/Snowflake + Excel + SaaS apps + ad platforms + CSV, SQL gen/exec), Orch (autonomous investigation + Self Learning autonomous onboarding: connects warehouse/identifies tables/interviews team/builds semantic layer in bg + multi artifact deck/Excel/Word/PPT generation), Know (governed context/semantic layer, works with OR without existing model, Zoe builds it herself; headline), HITL (Verified-by-Data-Team / Promote-to-Verified / Awaiting-review workflow + Clarity Engine verify-the-reasoning + full monitor/improve tools; explicit human governance of definitions), Sec (SOC 2 + RBAC + encryption + strict access controls + data isolation), Obs (Citations complete lineage per figure + Clarity Engine + hover-any-number source/filters/KPIs + every question logged/auditable across users/channels; headline), Mem (branded 'Memories': remembers patterns/definitions, same question twice = same answer + reusable semantic model), Trig (proactive monitoring 'watches metrics that matter, surfaces what changed + why' + Slack/Teams inline read-out). Partials: Dep (live warehouse query SaaS; no self host/VPC/on-prem documented), Pack (single configurable Zoe agent + workflows + custom calcs + vertical use cases; not marketplace), Ext (embeddable dashboards/reports + reusable semantic model in workflows; no clear public API/SDK/MCP), Eval (monitor what's working/failing + verification + promote concepts; no formal eval harness). N: Model (LLM powered, no user model choice/BYO/routing documented), Comp (no browser/computer use). Pricing self_serve: per-query-per-active-user; self serve signup for teams up to 10 (since May 2026) + enterprise. Exact $ not captured -> public_partial. Zoe Self-Learning launched May 2026 ('zero to governed in 59 min'). Multi-language + voice input/transcription (accessibility).
Capability coverage
10.0 / 14 capabilities · 71%
| Integrations & Tool CallingZenlytic's Zoe connects to data warehouses such as Snowflake plus Excel files, software as a service applications, and advertising platforms, and generates and runs the SQL to answer questions, so full. | Full |
|---|---|
| Workflow OrchestrationZoe autonomously investigates a question, and through Self Learning it connects to a warehouse, identifies tables, builds the semantic layer, and produces decks, Excel models, and reports end to end, so full. | Full |
| Knowledge Grounding & RAGZoe runs on a governed context layer of business definitions and, with Self Learning, builds that semantic layer itself by reading the schema and interviewing the team, so full. | Full |
| Human Oversight & GuardrailsZenlytic lets data teams verify and promote definitions, marks answers as verified, and gives full tools to monitor and improve Zoe's context, with a Clarity Engine so users verify the reasoning, so full. | Full |
| Security, Identity & GovernanceZenlytic is SOC 2 compliant with role based access so each user sees only appropriate data, plus encryption and strict access controls, so full. | Full |
| Observability & AuditabilityEvery figure Zoe returns carries citations showing complete lineage, hovering any number reveals its source and filters, and every question is logged and auditable across users and channels, so full. | Full |
| Memory & State PersistenceZoe has a memory that automatically retains patterns and definitions from previous queries, so the same question returns the same answer, and results become reusable, so full. | Full |
| Deployment & Data ResidencyZoe queries a company's live warehouse and isolates data by role, but a self hosted, on premises, or virtual private cloud deployment is not documented, so partial. | Partial |
| Prebuilt Agents, Templates & PacksZenlytic offers a single configurable Zoe agent with workflows, custom calculations, and vertical use cases, but not a marketplace of agents, so partial. | Partial |
| Triggers & Channel CoverageZoe proactively watches the metrics that matter, surfaces what changed and why on a configured basis, and delivers the read out inline in Slack and Microsoft Teams, so full. | Full |
| Model Flexibility & RoutingZoe is AI powered but Zenlytic does not document a user facing choice of underlying model or provider, so not documented. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityZenlytic can embed dashboards and reports into other applications and reuses its semantic model in workflows, but a formal public application programming interface, software development kit, or Model Context Protocol surface is not clearly documented, so partial. | Partial |
| Testing, Debugging & OptimizationZenlytic gives tools to monitor which answers are working or failing and which concepts to promote, alongside verification, but a formal evaluation harness is not documented, so partial. | Partial |
| Browser & Computer UseZoe analyzes connected data and has no browser or computer use capability, so not documented. | Unable to verify |
Pricing
Self-serve for teams up to 10; enterprise custom
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