We design and build agentic AI that reasons through tasks, uses your tools, and takes action: answering customers, qualifying leads, researching, and updating your systems around the clock.
Every agent is built around a real workflow in your business and connected to the tools your team already uses.
Resolve common tickets, look up orders and accounts, and hand off to a human with full context when needed.
Engage inbound leads, ask qualifying questions, book meetings on your calendar, and keep your CRM up to date.
Gather information from the web and internal documents, compare options, and deliver structured summaries.
Process invoices, reconcile data, triage email, and complete multi-step admin tasks across your systems.
Give your team instant answers from policies, SOPs, and documentation, with sources cited.
Teams of specialized agents that coordinate on complex jobs, each with a clear role and guardrails.
Production-grade agents need more than a clever prompt. We engineer for reliability, control, and security from day one.
Agents connect to your CRM, help desk, database, calendar, and internal APIs so they can act, not just answer.
Approval steps, permission limits, and escalation rules keep sensitive actions under your control.
Agents draw on your data through retrieval and remember relevant history, so responses stay accurate.
We test agents against real scenarios before launch and track quality, failures, and usage in production.
We pick the right model for each task, from OpenAI and Anthropic Claude to Google Gemini and open-source models.
Least-privilege data access, audit logs, and the option to deploy inside your own cloud environment.
A chatbot answers questions from a script. An AI agent works toward a goal: it plans the steps, calls the tools it needs, checks the result, and keeps going until the job is done.
A clear, collaborative process from the first call to launch and beyond.
We map the workflow, success metrics, data sources, and the actions the agent should and shouldn't take.
A working proof of concept on your real data, so you can see results before committing to a full build.
We harden the agent, connect it to your systems, and add guardrails, logging, and human review steps.
We deploy, monitor performance, and keep improving accuracy as real usage data comes in.
We choose the right tools for each project. Here are some of the technologies we work with most often.
Startups and growing businesses across the United States trust us to design, build, and ship their products. Here's what working with us looks like.
Calls and live collaboration during Eastern, Central, Mountain, and Pacific hours, plus async updates between meetings.
Written scope, milestone-based billing in USD, and an NDA signed before you share any details.
Full source code and IP ownership transfer to your company when the project is complete.
Work directly with the engineers building your product. No account managers, no lost context.
Book a free consultation. We'll identify the workflows where an AI agent can save your team the most time.
Book a Free ConsultationCommon questions about our ai agents services.
An AI agent is software powered by a large language model that can plan and complete tasks on its own. A chatbot mostly responds to questions, while an agent can take actions such as looking up records, updating your CRM, sending emails, or booking meetings, and it works through multi-step tasks until the goal is reached.
They're closely related. Agentic AI describes the approach of giving AI the ability to plan, use tools, and act with some autonomy. An AI agent is the actual system built using that approach. When we build agentic AI for a client, the result is one or more AI agents working inside their business.
Most modern business software can be connected, including Salesforce, HubSpot, Zendesk, Intercom, Slack, Microsoft Teams, Google Workspace, Shopify, Notion, and Airtable. We also integrate with custom databases and internal APIs.
We combine several safeguards: clear permission limits, human approval for sensitive actions, confidence thresholds that trigger escalation, and evaluation suites that test the agent against real scenarios before and after launch. Every action is logged so you can review what the agent did and why.
Yes. We use enterprise AI providers whose API terms exclude training on your data by default, apply least-privilege access to your systems, and can deploy agents inside your own AWS, Azure, or Google Cloud account. We're happy to sign an NDA before any project discussion.
A focused, single-workflow agent can usually be prototyped in two to four weeks. Production-ready agents with multiple integrations typically take six to ten weeks, depending on complexity and access to your systems.
Yes. We work remotely with clients across the United States, as well as the UK, Canada, Australia, and beyond. We schedule calls during your business hours and share regular async updates, so progress continues around the clock.