Artian
Also known as: Artian AI, Artian Inc
Enterprise multi agent AI platform for financial services: a Planner and Agent Builder compose governed, deployable multi agent workflows for capital markets, trading operations and wealth.
Artian is an enterprise multi-agent AI platform built for financial services, founded in New York in 2023 by former JPMorgan and Morgan Stanley leaders. Instead of static, brittle workflows it composes systems of AI agents that reason, adapt, and collaborate to run complex end-to-end processes in capital markets, trading operations, and wealth and client operations. Users define goals through an AI Agent Builder; a custom Planner generates structured or dynamic plans, composes Workflow Agents that execute adaptive task graphs, tracks progress, and replans as needed, while an Artian Exchange lets agents discover and engage Provider Agents.
Artian starts customers from three pre-built agentic solutions, Break Remediation for trading and risk pipelines, Client Operations for prospecting, onboarding, and servicing, and Batch Operations for intercepting operational incidents, which are configured to each firm's rules and approvals. Agents connect to more than 40 systems, including the major clouds, Postgres, MongoDB, Slack, Teams, Salesforce, Jira, and ServiceNow, over REST and MCP, and mix models from Anthropic, OpenAI, Gemini, and Mistral with a model router.
Controls are the core of the pitch for regulated firms.
Agents work from governed, entitled data with fine-grained RBAC and ABAC, single sign-on, environment isolation, and legal-entity boundaries; risk-adjusted callbacks route high-impact steps to people and in-band guardrails block out-of-policy actions; immutable audit logs and lineage make each decision traceable, with OpenTelemetry export; and agents are evaluated against benchmarks and live traffic online and offline.
The company states SOC 2 Type II compliance and deploys on premises, in a private cloud, or in its own cloud. Pricing is not published. It suits banks and financial institutions that want governed multi-agent automation of operational workflows; teams outside finance or wanting a self-serve builder will find it a specialized, sales-led platform.
Vendor details
Canonical URL
https://artian.ai/
Category
Multi-agent platform
Funding status
$8M seed, led by Work-Bench with participation from Foxe Capital / Anthemis and domain angel investors.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Designed to integrate with legacy financial systems and operate within regulatory constraints. Agents execute adaptive task graphs that invoke standard or proprietary AI models and domain specific skills; the Artian Exchange selects and integrates Provider Agents into a Workflow Agent's execution context.
In practice
A trading operations team hands breaks in its trade and risk pipelines to Break Remediation, which works each break and routes high impact fixes to a person before they go through.
A wealth management firm runs prospecting, onboarding and client servicing through Client Operations, set to the firm's own rules and approvals.
An operations team lets Batch Operations catch batch incidents as they happen, with every agent decision kept in an audit log it can export.
Sources & related URLs
Agentic Index coverage score
11.0 / 14 capabilities · 79%
| Integrations & Tool Calling | Full |
|---|---|
|
Agents connect to 40+ systems, including AWS, Azure, GCP, Postgres, MongoDB, Slack, Teams, Salesforce, Jira and ServiceNow, over REST and MCP, and invoke finance specific integrations and domain skills inside their task graphs. Those AI skills are shared across agents, and a task graph can call standard or proprietary models as one of its steps. Sourceartian.ai/productread 2026-09-27 |
|
| Workflow Orchestration | Full |
|
A custom Planner generates structured or dynamic plans, composes a system of Workflow Agents that execute adaptive task graphs, tracks progress toward the goal and replans, and the Artian Exchange selects Provider Agents for collaboration. The Agent Builder walks users through clarifying the goal before a plan is drawn up. Task graphs handle conditional steps through declarative flow control, with rollbacks for agent state. Any Workflow Agent can be offered as a Provider on the Exchange, where agents negotiate the value of a job, and the Exchange can recommend how to split a budget across the agents working together. SourceArtian, artian.ai/platformread 2026-10-05 |
|
| Knowledge Grounding & RAG | Partial |
|
Agents work from governed data that each business domain owns, with access set by fine grained RBAC, and they tie each decision to sources that can be cited, with lineage from end to end. Artian does not describe a search index or document store over the customer's documents for agents to draw on. Sourceartian.ai/controlsread 2026-09-27 |
|
| Human Oversight & Guardrails | Full |
|
Risk adjusted interaction callbacks route high impact steps to humans, human checkpoints guard high stakes decisions with rollback, and in band guardrails block out of policy actions before they reach customers. Agents work alongside human supervisors as they run, and the state of an agent can be rolled back through declarative flow control. Sourceartian.ai/controlsread 2026-09-27 |
|
| Security, Identity & Governance | Full |
|
Artian supports single sign on over SAML and OAuth2, RBAC and ABAC, environment isolation and legal entity boundaries. It holds SOC 2 Type II certification, listed beside each deployment option, with reports through its trust center at trust.artian.ai, which runs on Vanta. SourceArtian, artian.ai/platform and trust.artian.ai; artian.ai/productread 2026-10-05 |
|
| Observability & Auditability | Full |
|
Online journals and immutable audit logs make each agent decision traceable with audit ready lineage for every data element, execution gives natural language visibility into progress, and telemetry exports over OpenTelemetry. Sourceartian.ai/controlsread 2026-09-27 |
|
| Memory & State Persistence | Partial |
|
The platform manages task data and memory for Workflow Agents across their lifecycle and learns patterns as planned workflows run again and again. Artian does not say what that memory holds, who can see it or how long it is kept. Agent state can be rolled back through declarative flow control. SourceArtian, artian.ai/platform; artian.ai/productread 2026-10-05 |
|
| Deployment & Data Residency | Full |
|
Customers choose on premises, their own private cloud or Artian's secure cloud, with SOC 2 Type II certification listed beside all three. Artian also enforces data residency rules and legal entity boundaries. SourceArtian, artian.ai/platformread 2026-10-05 |
|
| Prebuilt Agents / Templates / Packs | Full |
|
Three prebuilt agentic solutions each do a separate job. Break Remediation handles trading and risk pipelines, Client Operations covers prospecting, onboarding and servicing, and Batch Operations deals with operational incidents. Customers start from one of them and set it to their own rules and approvals. Sourceartian.ai/solutionsread 2026-09-27 |
|
| Triggers & Channel Coverage | Partial |
|
The Batch Operations solution catches operational incidents on its own, and the product lists enterprise ticketing, Slack and Teams integrations, so agents pick up some work without a person handing it to them. Artian publishes no way for a customer to set its own triggers, schedules or event rules. Sourceartian.ai/solutionsread 2026-09-27 |
|
| Model Flexibility & Routing | Full |
|
Customers mix and match models from Anthropic, OpenAI, Gemini and Mistral with model router support, and task graphs can invoke standard or proprietary models. Sourceartian.ai/productread 2026-09-27 |
|
| APIs / SDKs / MCP Extensibility | Partial |
|
Artian lists an API, a CLI, Python and TypeScript SDKs, IDE and Git integration and A2A protocol support. The CLI and SDKs come with shared AI skills and finance specific integrations. Artian publishes no reference documentation for any of them and does not say what they cover or how a customer gets access. SourceArtian, artian.ai/platformread 2026-10-05 |
|
| Testing, Debugging & Optimization | Full |
|
Agents are tested against benchmarks and real traffic with continuous online and offline evaluations, and every change is kept reviewable and reversible under in house SDLC and model development standards with testing evidence. How customers run and review these evaluations is not published. Sourceartian.ai/controlsread 2026-09-27 |
|
| Browser / Computer-use | Not documented |
|
Agents work through system integrations, REST and MCP, and no browser or computer use capability is described. Artian presents its agents as a successor to RPA, but they reach systems through integrations, not by working a screen. SourceArtian, artian.ai/about and /platform; artian.ai/productread 2026-10-05 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
No public pricing; sold to large financial institutions and deploying to targeted customers via a sales led, custom enterprise motion.
enterprise platform license, scoped per institution
What is public
No prices, units or plans are published; the site routes buyers to a contact form. Deployment on premises, in a private cloud or in Artian's cloud is public.
Cost watchouts
Deployment to the customer's chosen environment and finance grade governance suggest implementation and integration effort alongside the license.
Variable cost rationale
Enterprise platform licensing with no documented usage meter; scope is defined per institution and deployment.
Sales call required
Yes, required for paid access
Free / trial
Early access; evaluations through the Artian team, no self serve
Lowest paid plan
None public; enterprise contact
Key ambiguities
Nothing numeric is public; the platform is at targeted deployment stage so commercial terms are bespoke.
Related vendors
- CrewAI — Open source multi agent framework (Python, MIT) of role based Crews…
- Relevance AI — Platform for building and deploying a workforce of AI agents with a…
- Agent Zero — Open-source multi-agent framework that gives its agent a full Linux…
- Akka — Enterprise agentic AI platform that builds and runs multi agent…
- Databricks Agent Bricks — Databricks' agent platform, now sold as Agent Bricks, for building,…
- Dataiku — Enterprise AI and machine learning platform with an agentic layer…
Alternatives to Artian
The closest documented capability profiles to Artian among multi-agent platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Legion Intelligence11.5 / 14Fuller documented coverage on Knowledge Grounding & RAG
- Akka12.5 / 14Fuller documented coverage on Memory & State Persistence and Triggers & Channel Coverage
- Databricks Agent Bricks13.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Memory & State Persistence
- Dataiku13.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Memory & State Persistence
- Relevance AI13.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Memory & State Persistence
- Rasa11.5 / 14Fuller documented coverage on Knowledge Grounding & RAG and Triggers & Channel Coverage
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded