The Artian AI Automation Suite offers customizable multi-agent solutions tailored for financial services, powered by the robust Artian Intelligence platform.
Our platform consists of a truly unique Agent Builder, scalable Execution Engines for Workflow Agents, an agentic Solution Console and the Artian Exchange. Additional niceties include a CLI, Python/Typescript SDKs, shared AI skills, finance-specific integrations and more.
The next-gen AI platform for enterprise automation.
WORKFLOW AGENTS
Achieve your objectives.
Define goals for your business process using natural language as it is normally used by people in your domain. Our highly differentiated AI Agent Builder guides you through goal clarification and other best practices. Then, our custom AI Planner generates structured or dynamic plans and the Builder composes a multi-agent solution with a system of Artian AI Workflow Agents. These agents are then lifecycle-managed and deployed to your chosen environment.
The agents execute adaptive task graphs, which invoke standard or proprietary AI models and domain-specific skills. Data protection and AI model governance is a key focus here. During execution, the Planner tracks progress towards the goals and replans as appropriate. The solution interacts with human supervisors seamlessly and provides natural language-based visibility.
PROVIDER AGENTS
Acquire more capabilities.
The capabilities of Workflow Agents are enhanced through Artian Exchange, which evaluates and selects Provider Agents for integrated use. All Artian AI Workflow Agents are capable of being made available as Providers via the Exchange, with the flip of a switch. External experts can also be added.
A collection of services that are offered via private instances of the Exchange enable the engagement of such Providers. The Exchange framework facilitates negotiation amongst agents to dynamically determine the value of relevant Providers with respect to a Workflow Agent’s goals. Artian’s infrastructure also manages the delivery of the engaged Provider’s outputs into the Workflow Agent’s execution context. It can also make recommendations on optimal allocation of a given budget for multi-agent collaboration.
KEY DIFFERENCES vs. OTHERS
builder
experience
predictable
reliability
conditional execution
via declarative
flow control
checkpoints
and rollbacks
for agent state management
out-of-the-box
task data
and memory
isolation
multi-agent
economics
Flexible Deployment
Choose on-premise, your private cloud, or our secure cloud — with SOC 2 Type II certification. When the need arises, you can even mix-and-match them for a truly custom fit.
With roots at Carnegie Mellon, Columbia, Penn, UC Berkeley and more great institutions, our team has been driving research and business applications of economically-motivated multi-agent AI systems for over a decade.
We know first-hand what it takes to make AI and agents really work in the enterprise. That rare expertise deeply influences our unique agentic exchange architecture.
Learn more about the many benefits of this approach… get started below.
Get Started
We are now deploying to targeted customers. We’d love to show you our products and explore your use cases.
If you‘re not sure about where you could capture the most value initially, we’d be happy to offer suggestions.