
MEET IRIS
AI Agents for Customer Acquisition
AI Agents for Customer Acquisition
We build agents that research buyers, run approved campaigns, and use sales outcomes to inform the next test. Your acquisition process builds on what you learn instead of starting over.


HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.




HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.




HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.





WORK ACROSS YOUR TOOLS
Run Workflows Across the Tools Your Team Already Uses
Iris connects your CRM, email, docs, and project tools so work moves forward without manual handoffs or copy-pasting between apps.
Book a demo
Book a demo
BUILT FOR BUSINESS RESULTS
Every Campaign Builds Your Acquisition Playbook
Keep a record of the audiences, offers, objections, and outcomes behind each test. Use that evidence to decide what to repeat, what to change, and what to stop.
Company Memory
Key decisions, customer context, and operating knowledge stay available across teams and workflows.
Custom Skills
Your processes, tool usage, and approval rules become repeatable skills agents can execute.
CUSTOMER ACQUISITION
Research Buyers. Test Offers. Follow Through.
One process from research to pipeline
Iris researches target accounts, prepares and runs approved outreach, and tracks the results against your CRM. Your team reviews the findings and approves the next changes to audiences, offers, and follow-ups.
BUYER RESEARCH
Find relevant accounts and build segments around your product, buying triggers, and qualification criteria.
CAMPAIGN EXECUTION
Prepare outreach and follow-ups using approved tools. Keep campaign activity connected to the account history and next steps in your CRM.
CAMPAIGN LEARNING
Compare audiences and offers by qualified opportunities and customers, not just replies. Use supported findings to plan the next test.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
CUSTOMER ACQUISITION
Research Buyers. Test Offers. Follow Through.
One process from research to pipeline
Iris researches target accounts, prepares and runs approved outreach, and tracks the results against your CRM. Your team reviews the findings and approves the next changes to audiences, offers, and follow-ups.
CAMPAIGN EXECUTION
Prepare outreach and follow-ups using approved tools. Keep campaign activity connected to the account history and next steps in your CRM.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
BUYER RESEARCH
Find relevant accounts and build segments around your product, buying triggers, and qualification criteria.
CAMPAIGN LEARNING
Compare audiences and offers by qualified opportunities and customers, not just replies. Use supported findings to plan the next test.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
CUSTOMER ACQUISITION
Research Buyers. Test Offers. Follow Through.
One process from research to pipeline
Iris researches target accounts, prepares and runs approved outreach, and tracks the results against your CRM. Your team reviews the findings and approves the next changes to audiences, offers, and follow-ups.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
CAMPAIGN LEARNING
Compare audiences and offers by qualified opportunities and customers, not just replies. Use supported findings to plan the next test.
CAMPAIGN EXECUTION
Prepare outreach and follow-ups using approved tools. Keep campaign activity connected to the account history and next steps in your CRM.
BUYER RESEARCH
Find relevant accounts and build segments around your product, buying triggers, and qualification criteria.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
QUESTIONS ABOUT IRIS
Everything You Need to Know Before Deploying Iris
How Iris integrates with your systems, runs across teams, handles company data, and adapts to your operating environment.
Tell us which workflow you want to improve. We’ll help define the implementation.
Talk to Us
Talk to Us
Can Iris Be Integrated Into Our Enterprise Environment?
Yes. Iris can be deployed in different ways depending on your infrastructure and data requirements. For standard deployments, Iris can connect to approved business systems and operate across the tools your teams already use. For companies that need more control, Iris Enterprise is designed to support a customer-controlled private cloud or a separately scoped on-premises deployment. Enterprise deployments can also include SSO, role-based access, private model endpoints, policy-based model routing, scoped credentials, action approvals, and audit records.
Can Iris Be Integrated Into Our Enterprise Environment?
Yes. Iris can be deployed in different ways depending on your infrastructure and data requirements. For standard deployments, Iris can connect to approved business systems and operate across the tools your teams already use. For companies that need more control, Iris Enterprise is designed to support a customer-controlled private cloud or a separately scoped on-premises deployment. Enterprise deployments can also include SSO, role-based access, private model endpoints, policy-based model routing, scoped credentials, action approvals, and audit records.
How Does Iris Integrate With Our Existing Tools?
Iris works across the systems already used to run your company, including CRM, email, documents, project management tools, internal databases, and other business applications. Agents can retrieve information from those systems, combine it into the context needed for a workflow, and take approved actions such as preparing updates, creating tasks, drafting follow-ups, or updating records. Standard connectors support defined actions, while custom integrations can extend Iris into internal software and specialized workflows.
How Does Iris Integrate With Our Existing Tools?
Iris works across the systems already used to run your company, including CRM, email, documents, project management tools, internal databases, and other business applications. Agents can retrieve information from those systems, combine it into the context needed for a workflow, and take approved actions such as preparing updates, creating tasks, drafting follow-ups, or updating records. Standard connectors support defined actions, while custom integrations can extend Iris into internal software and specialized workflows.
What Work Can Iris Handle?
Iris is designed for recurring operational work where information has to be collected, understood, coordinated, and turned into action. That can include preparing account and meeting briefs, researching companies and markets, monitoring customer renewals, identifying blockers across projects, preparing CRM updates, drafting follow-ups, coordinating hiring processes, producing recurring reports, investigating engineering issues, and tracking commitments and next steps. Different Iris applications are designed around Operations, Sales, Customer Success, Research, Recruiting, Executive Assistance, and Engineering.
What Work Can Iris Handle?
Iris is designed for recurring operational work where information has to be collected, understood, coordinated, and turned into action. That can include preparing account and meeting briefs, researching companies and markets, monitoring customer renewals, identifying blockers across projects, preparing CRM updates, drafting follow-ups, coordinating hiring processes, producing recurring reports, investigating engineering issues, and tracking commitments and next steps. Different Iris applications are designed around Operations, Sales, Customer Success, Research, Recruiting, Executive Assistance, and Engineering.
How Are Iris Agents Customized for Different Departments?
Each department can have agents built around the workflows that matter to that team. A Sales agent might understand the company’s account-review process, use CRM and email, prepare call briefs, and suggest record updates. An Operations agent might track project commitments, identify blockers, and prepare follow-ups. Customization includes workflow steps, connected systems, information access, output format, approval requirements, and permitted actions.
How Are Iris Agents Customized for Different Departments?
Each department can have agents built around the workflows that matter to that team. A Sales agent might understand the company’s account-review process, use CRM and email, prepare call briefs, and suggest record updates. An Operations agent might track project commitments, identify blockers, and prepare follow-ups. Customization includes workflow steps, connected systems, information access, output format, approval requirements, and permitted actions.
How Does Company Memory Work?
Iris can maintain useful company context across workflows instead of treating every request like a new conversation. That can include account history, previous decisions, operating playbooks, project context, saved preferences, and past workflow results. When relevant and authorized, that information can be used in future work. Access still follows the company’s permissions, so shared memory does not mean every employee or agent automatically gains access to every piece of company information.
How Does Company Memory Work?
Iris can maintain useful company context across workflows instead of treating every request like a new conversation. That can include account history, previous decisions, operating playbooks, project context, saved preferences, and past workflow results. When relevant and authorized, that information can be used in future work. Access still follows the company’s permissions, so shared memory does not mean every employee or agent automatically gains access to every piece of company information.
Can Different Teams Use Iris Together?
Yes. Iris can support workflows that move across departments while keeping access scoped to the people and systems involved. For example, a customer renewal can involve Sales, Customer Success, Legal, Finance, and Engineering. Iris can carry authorized customer context and outstanding commitments into that workflow, identify what is blocking the outcome, and coordinate the next actions. Each person still operates within their permissions.
Can Different Teams Use Iris Together?
Yes. Iris can support workflows that move across departments while keeping access scoped to the people and systems involved. For example, a customer renewal can involve Sales, Customer Success, Legal, Finance, and Engineering. Iris can carry authorized customer context and outstanding commitments into that workflow, identify what is blocking the outcome, and coordinate the next actions. Each person still operates within their permissions.
Which AI Models Can Iris Use?
Iris is designed to be model-agnostic. Different supported models can be used depending on the task, required capability, cost, speed, and the company’s data policies. For Enterprise deployments, model selection can also depend on where the information is allowed to be processed. The company’s workflow, memory, permissions, and integrations do not need to be built around one model provider.
Which AI Models Can Iris Use?
Iris is designed to be model-agnostic. Different supported models can be used depending on the task, required capability, cost, speed, and the company’s data policies. For Enterprise deployments, model selection can also depend on where the information is allowed to be processed. The company’s workflow, memory, permissions, and integrations do not need to be built around one model provider.

Build Your First AI Acquisition Workflow
Book a demo and we’ll map one acquisition workflow, the tools it needs, and how to measure its contribution to qualified opportunities and customers.