Top AI Agent Development Companies In The USA For 2026

The best AI agent development companies in the USA for 2026 are Azumo, HatchWorks AI, Master of Code Global, Markovate and Xenoss, followed by Ode with Anthropic, Simform, Valere, SoftDoes and Slalom. Each one runs a dedicated agent development practice, has a verifiable US office, and builds custom agents that connect to the systems a business already runs on, rather than reselling a chatbot template.

Agents moved from pilots into production budgets this year. Teams now expect an agent to read a ticket, query a CRM, draft a reply and route an approval, all with logging and a human in the loop where it matters. That shift makes the build partner more important than the model, because most failures come from weak scoping, missing evals and brittle integrations, not from the LLM itself.

This list focuses on service firms: agencies and consultancies you hire to design, build and run agents for you. We checked each firm’s agent service page and US presence as of October 2026. If you need a partner north of the border, see our list of top AI agent development companies in Canada, and if you would rather build in house, start with our guide to the top AI agent frameworks.

AI Agent Development Companies At A Glance

Company	US Base	Best For	Engagement Model
Azumo	San Francisco, CA	Multi-agent workflows with nearshore teams	Fixed price, dedicated team or staff augmentation
HatchWorks AI	Atlanta, GA	Workflow redesign plus agent builds	Forward deployed engineers or agentic AI pods
Master of Code Global	Redwood City, CA	Conversational and voice agents	Fixed-price proof of concept, then managed team
Markovate	San Francisco, CA and Schaumburg, IL	Regulated, on-premise agent deployments	Scoped pilot, then full build
Xenoss	Brooklyn, NY	Data-heavy enterprise agent systems	Project delivery with SLAs
Ode with Anthropic	San Francisco, CA	Claude-based production systems for mid-size companies	Embedded engineering through deployment
Simform	Orlando, FL, Dallas and Austin, TX	Microsoft and Azure agent stacks	Project or dedicated team
Valere	Boston, MA	Context-aware agents on client infrastructure	Custom build through Valere Labs
SoftDoes	Mission, KS	First agent for small and midsize firms	Pilot, production, then monthly tuning
Slalom	Seattle, WA	Enterprise platform agents and managed operations	Consulting plus managed service

Best AI Agent Development Companies In The USA In 2026

1. Azumo — San Francisco Agent Builder With Nearshore LangGraph And CrewAI Teams

Azumo is headquartered in San Francisco and staffs its projects mainly with engineers in South America, many in Argentina, so teams work in US time zones. It runs a dedicated AI agent development service rather than treating agents as a side offering.

The firm builds autonomous workflow agents for multi-step processes such as claims handling, order fulfillment and compliance checks, along with virtual assistants that escalate to a human when confidence drops, monitoring agents that flag anomalies, voice agents, and coordinator-led multi-agent systems. Its stack covers LangGraph, CrewAI, Microsoft AutoGen, LangChain and LlamaIndex, with models from OpenAI, Anthropic, Meta, Mistral, Qwen and DeepSeek deployed on AWS Bedrock, Azure OpenAI or Google Vertex AI.

What stands out is the configurable autonomy model: low-risk tasks run unattended, higher-risk steps need approval above a set threshold, and every deployment ships with guardrails, fallbacks, access controls and audit trails. Azumo states that it is SOC 2 certified.

It suits mid-market and enterprise teams that want a US contract and a nearshore cost base. Engagements run as fixed-price projects, dedicated teams or staff augmentation, starting from discovery and a proof of concept.

2. HatchWorks AI — Atlanta AI-Only Firm Pairing Workflow Redesign With Agentic Automation

HatchWorks AI was founded in Atlanta in 2016 and now describes itself as a pure-play AI partner. It has US offices in Atlanta, Chicago and Dallas, plus nearshore hubs in Costa Rica, Colombia and Peru that work in client time zones.

Its agentic automation service starts by redesigning a workflow from first principles, then builds agents that reason, take actions and work across a company’s systems. That order matters: many agent projects fail because they automate a broken process, and HatchWorks puts the process question first.

The firm builds with its Generative-Driven Development method (GenDD), in which small teams of senior practitioners orchestrate coding agents with safety gates across the delivery cycle. It lists partnerships with Anthropic, OpenAI, Google Cloud and Databricks.

HatchWorks fits companies that want strategy and build under one roof. Buyers can engage forward deployed engineers who embed with an internal team, cross-functional agentic AI pods, or a broader AI and data transformation program. Pricing is quoted per engagement.

3. Master of Code Global — Conversational And Voice Agent Specialist With A 30-Day Fixed-Price Proof Of Concept

Master of Code Global has its US office in Redwood City, California, with further offices in Winnipeg, Poland and Ukraine. The firm spent years on conversational AI before agents became a category, and that background shows in its portfolio.

It builds customer-facing conversational agents, employee help desk assistants for IT and HR, contact center copilots that suggest replies and hand off to people, voice agents, website onboarding agents, data reconciliation agents and internal MCP-based workspaces that bring enterprise tools into one chat interface. It also deploys on channels such as Apple Messages for Business and RCS Business Messaging.

Its engineering base includes LOFT, an open-source modular LLM orchestrator the team uses to assemble agents, plus integration work with CRMs, ERPs and internal APIs. The company holds ISO 27001 certification and lists Google Cloud, AWS and Salesforce among its partners.

Master of Code suits brands whose agent will talk to customers at volume. Its process starts with a free scoping call and moves to a fixed-price, fixed-timeline proof of concept of about 30 days before a full build.

4. Markovate — Agent Developer Offering On-Premise And Air-Gapped Deployment For Regulated Industries

Markovate lists US offices in San Francisco and Schaumburg, Illinois, alongside Toronto and Gurugram. It offers both AI agent development and a broader agentic AI practice.

The firm builds workflow agents that coordinate tasks across departments, decision support agents that analyze live data, and single-purpose or multi-agent systems for customer support, document processing, supply chain, marketing and finance. Agents connect to CRMs, ERPs, data warehouses and messaging tools.

Its six-stage method runs from discovery and feasibility through an architecture blueprint that defines each agent’s role, decision logic and guardrails, then development, human-in-the-loop testing in simulated environments, and production monitoring. Markovate holds ISO 9001 and ISO/IEC 27001 certifications, aligns with GDPR and HIPAA, and offers on-premise and air-gapped deployment, which is rare among mid-size firms.

It suits healthcare, finance and other regulated buyers who cannot send data to a shared cloud. Projects typically begin with a scoped pilot on the client’s own data in four to six weeks, with forward deployed engineers working inside the client environment.

5. Xenoss — Brooklyn Data Engineering Firm Building Multi-Agent Systems On Its XnCore Platform

Xenoss has its US headquarters in Brooklyn, New York, with R&D centers in Warsaw, Wroclaw and Kyiv and an office in London. Its roots are in data engineering and adtech, which makes it a strong pick when an agent depends on large, messy data sources.

The firm designs multi-agent systems that share context, coordinate tasks and connect to CRMs, ERPs, internal APIs and cloud tools through secure middleware. It also builds domain agents for finance, healthcare, retail and adtech, enterprise knowledge assistants and copilots.

Xenoss is model-agnostic, working with OpenAI, Claude, Gemini, Mistral or private models, and can fine-tune and ground them on proprietary data. Its low-code XnCore platform lets teams configure workflows, test agent interactions and monitor agents after launch. Deployments run in the cloud, on premise or hybrid, with audit trails of prompts and actions, role-based access and alignment with ISO 27001 and SOC 2.

It suits enterprises with established data platforms on AWS, Google Cloud, Databricks or Snowflake that want agents tied into that estate. Pricing is set per project.

6. Ode with Anthropic — San Francisco Services Firm Built On Fractional AI To Put Claude Into Production

Ode with Anthropic launched under that name in July 2026 as an enterprise AI services company backed by Anthropic, Blackstone and Hellman & Friedman. It is built on Fractional AI, a San Francisco applied AI firm acquired in May 2026, and Fractional’s co-founders lead it as CEO and CTO.

Fractional AI built a track record on custom agents, including API integration builder, voice, data structuring, developer, information analysis and content moderation agents, and on evaluation work that reduced hallucinations in a client’s AI integration builder. Ode carries that team forward and works directly with Anthropic’s Applied AI group.

The firm emphasizes production systems over proofs of concept and stays with the client from roadmap through deployment rather than handing over a repository and leaving. Its stated focus is mid-size companies moving from experiments to AI inside daily operations, across financial services, healthcare, retail, manufacturing and software.

Ode suits companies that have standardized on Claude and want a partner with close access to the model provider. Pricing is not published.

7. Simform — Azure Expert MSP Building Supervisor-Led Agents On Azure AI Foundry

Simform lists US offices in Orlando, Florida, and in Dallas and Austin, Texas. Its headquarters and much of its engineering team are in Ahmedabad, India, so delivery is largely offshore with US-based account coverage.

Its agentic AI practice designs reasoning-loop agents that call tools and decide next steps, supervisor agents that split parallel work among specialists, sequential agent graphs with shared state, and domain agents for field operations, fraud detection, care coordination and software delivery. The firm builds mainly on Azure AI Foundry, with Copilot Studio for low-code orchestration and Microsoft Fabric for data.

Simform is an Azure Expert MSP and a Microsoft Fabric Featured Partner. Its method keeps rule-based steps as plain automation and uses agents only where judgment is needed, adds routing so each task goes to a model that fits its cost and complexity, and brings evaluation pipelines and cost budgets into operations through its ThoughtMesh accelerator.

It suits Microsoft-centric companies that want agents inside their existing Azure tenancy at an offshore price point.

8. Valere — Boston-Based Firm Building Context-Aware Agents On Client Infrastructure

Valere lists Boston as its US office, with delivery centers in Indore, India, and Lima, Peru, and a team of more than 225 people. It is an AWS Partner with a long background in custom software and mobile development.

Through Valere Labs, its custom build arm, the firm designs, engineers and deploys agentic solutions on the client’s own infrastructure. Its agent work covers agentic workflow automation, LLM applications and RAG pipelines, built with tools such as LangChain, OpenAI models, SageMaker, Hugging Face and vector databases including Pinecone, Weaviate and pgvector.

A distinctive piece is Dactic, a Valere product that supplies agents with business context so they act on how a company actually operates, on whatever platform the agents run.

Valere suits companies that want agents deployed inside their own cloud account and a partner that can also build the surrounding web or mobile product. Pricing is quoted per project.

9. SoftDoes — Kansas City Software Firm Shipping Approval-Gated Agents For Small And Midsize Businesses

SoftDoes is based in Mission, Kansas, in the Kansas City area, and runs a dedicated AI agent development service within its AI and machine learning practice.

The firm focuses on practical, narrow agents: support agents that answer routine questions from policy and order data and escalate harder cases with context, operations agents that read documents and fill records against business rules, sales research agents that brief reps on new leads, and back-office agents that prepare invoices and match payments with a person signing off.

Its builds combine LLMs with tool orchestration and RAG, but keep deterministic control flows, per-tool permissions, human approval steps, logging and alerting around the model. Discovery produces workflow maps, an architecture document, a proof-of-concept agent and success metrics.

SoftDoes suits small and midsize companies building their first agent. It offers a free 30-minute call, then three tiers: a pilot agent for one workflow, a production agent wired into existing systems, and monthly support and tuning. Pricing is phase-based and depends on the number of systems and approval steps.

10. Slalom — Seattle Consultancy Running Agentic Systems As A Managed Service Across AWS, Microsoft, Google And Salesforce

Slalom is a Seattle-headquartered consultancy with roughly 12,000 employees, which makes it the one large firm on this list. It offers consulting and delivery for both generative and agentic AI, and it will run agentic systems in production as a managed service with monitoring and ongoing improvement.

Its agent work centers on assistants and copilots inside live business processes. Slalom partners with AWS, Microsoft, Google Cloud, Salesforce, Databricks, OpenAI and Snowflake, and its Salesforce practice includes an Agentforce Foundations Accelerator for teams rolling out Agentforce.

The advantage is breadth: one firm can handle data readiness, change management, platform configuration and post-launch operations across many US metros. The tradeoff is cost and process overhead compared with the specialists above.

Slalom suits large enterprises that want agents built on a platform they already license and need a partner to own operations after launch. Pricing is engagement-based.

How To Choose An AI Agent Development Company

Most buyers compare portfolios first. A better approach is to compare how each firm handles the five areas below, since these predict whether an agent survives contact with real users. If you plan to hire AI agent developers directly instead of a firm, the same questions apply.

How Does The Firm Run Discovery And Scoping?

Ask for the output of discovery, not just its length. Good firms deliver a workflow map, a list of tools and data the agent will touch, approval rules, success metrics and a costed plan before writing production code. Be wary of any AI agent development company that quotes a full build after one call. A short paid sprint or a fixed-price proof of concept on your own data is a healthy sign.

What Evals And Guardrails Will Ship With The Agent?

An agent without evaluations is a demo. Ask how the firm tests tool selection, edge cases, adversarial inputs and integration failures, both before launch and in production. Ask which actions require human approval, how the agent behaves when it is unsure, and where logs and traces live. Our roundup of observability tools for AI agents covers the tooling many teams use for this.

How Will The Agent Integrate With Our Existing Systems?

Most of the effort in an agent project sits in integrations: CRM, ERP, ticketing, identity and data warehouses. Ask whether the firm uses your existing APIs, builds MCP servers, or relies on an integration platform, and who manages per-user authentication. Firms with real integration depth will talk about permissions and failure handling, not only prompts.

Who Owns The Code, Prompts And Infrastructure?

Confirm in writing that you own the source code, prompts, eval sets and cloud accounts, and that the agent can run without the vendor’s proprietary platform. If a firm builds on its own accelerator, ask what happens if you end the contract. Documentation and a runbook should be part of the handoff.

Which Pricing Model Fits The Project?

Fixed price works for a defined pilot. Time and materials or a dedicated team suits ongoing iteration, and a managed service makes sense when you want the partner to operate the agent long term. Ask for model and hosting costs to be estimated separately from labor, since inference spend grows with usage and is easy to overlook.

Frequently Asked Questions

What Do AI Agent Development Companies Actually Build?

They build software agents that use an LLM to plan steps, call tools and APIs, and complete tasks such as handling support tickets, processing documents, researching leads or reconciling payments. The work includes integrations, permissions, evaluations and monitoring, not just prompts. For a broader view of providers, see our list of AI agent development firms for enterprise solutions.

How Much Does It Cost To Build A Custom AI Agent In The USA?

Few firms publish rates, and cost depends on the number of systems, approval steps and compliance needs. Many start with a paid discovery sprint or a fixed-price pilot, then quote the production build separately. Budget for ongoing model, hosting and monitoring costs as well.

Should I Choose A US-Only Team Or A Nearshore Partner?

Several agentic AI development companies on this list pair a US office with nearshore teams in Latin America or offshore teams in India. Nearshore teams offer time-zone overlap at lower rates, while US-only teams can simplify compliance and on-site work. Weigh data residency, contract terms and how often you need live collaboration.

Can I Build Agents In House Instead?

Yes, if you have engineers comfortable with LLM frameworks and integrations. Our guide to the best AI agent builders covers platforms that shorten that path, and many companies hire a firm for the first agent, then take over.

Conclusion

The strongest AI agent development companies in the USA share a pattern: they scope tightly, test agents before and after launch, integrate with existing systems carefully, and hand clients ownership of what they build. Azumo, HatchWorks AI and Master of Code Global lead for depth and process, while Markovate and Xenoss stand out for regulated and data-heavy work.

When comparing AI agent development services USA buyers can trust, start with a small, well-defined workflow and a partner that will show you its evals. The rest of this list gives you options for every budget, from SoftDoes for a first agent to Slalom for enterprise-wide operations.

If you want to feature your company on this list, email us or submit a form in the Top Choices section. After a thorough assessment, we’ll decide whether it’s a valuable addition.