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The 13 best agentic AI companies and platforms in 2026, compared by features, pricing, and best fit — from foundation-model labs to coding and customer-service agents.
Agentic AI has crossed from demo to production, and the field of agentic AI companies now sorts into clear camps: foundation-model labs, all-in-one enterprise suites, developer frameworks, and focused players for coding or customer service. The short version of who leads in 2026 — OpenAI, Anthropic, Microsoft, Google Cloud, and Salesforce set the pace for most buyers, while Sierra, Cognition's Devin, and LangChain win the specific jobs the giants don't.
Below are 13 platforms worth a shortlist, grouped by what each is genuinely best at — with features, honest pricing, and the trade-off each one asks you to accept. One thing to settle first: agentic means software that plans and takes multi-step actions with tools, not a chatbot that only answers. This list leans toward vendors shipping that today, with real governance, over roadmap promises.
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| # | Company & platform | Best for | Pricing model |
|---|---|---|---|
| 1 | OpenAI — Frontier + Agents SDK | Governing fleets of production agents | Enterprise custom; SDK free; API usage-based |
| 2 | Anthropic — Claude Agent SDK | Developers building on Claude | Usage-based API; apps from $20/mo |
| 3 | Microsoft — Copilot Studio + Agent 365 | Microsoft 365 / Azure enterprises | Credits + $15/user/mo governance |
| 4 | Google Cloud — Gemini Enterprise Agent Platform | Google Cloud enterprises | Usage-based; seats from $30/user/mo |
| 5 | Salesforce — Agentforce 360 | Salesforce CRM shops | Flex Credits / ~$2 per conversation |
| 6 | Sierra — Agent OS | High-volume customer support | Custom, outcome-based (per resolution) |
| 7 | ServiceNow — Otto / Now Assist | ServiceNow enterprises | Custom (Prime tier + usage) |
| 8 | Cognition — Devin | Delegating coding tickets | Free; Pro $20, Teams $40/seat |
| 9 | AWS — Bedrock AgentCore | AWS teams shipping custom agents | Usage-based, no upfront fees |
| 10 | LangChain — LangGraph + LangSmith | Developers who want control | OSS free; LangSmith from $39/seat |
| 11 | Glean — Glean Agents | Governed agents across SaaS apps | Custom (~$50 + $15/user/mo est.) |
| 12 | n8n — AI Agent nodes | Self-hosted, inspectable automation | Free OSS; Cloud from ~€20/mo |
| 13 | Writer — WRITER Agent | On-brand enterprise workflows | From $29/user/mo; Enterprise custom |
Start with the stack you already run. If your data lives in Salesforce, Agentforce 360 is the path of least resistance; on ServiceNow, it's Otto; deep in Microsoft 365 or Google Cloud, their native platforms inherit your identity, security, and connectors for free. Fighting your existing ecosystem rarely pays off.
Then decide build versus buy. Turnkey agents like Sierra and Agentforce get you live fast but box you into one vendor's worldview. Frameworks — LangChain, the Claude and OpenAI Agent SDKs, n8n — hand you control and portability at the cost of engineering time. There's no universally right answer, only the one that fits your team.
Watch the pricing model more than the sticker. Usage-based billing — tokens, Copilot Credits, Flex Credits, Agentic Compute Units — is flexible but spikes on complex, long-running tasks and is genuinely hard to forecast. Sierra's outcome-based model (pay per resolved ticket) is the cleanest alignment of cost to value. Many enterprise players publish no pricing at all, so budget for a sales cycle.
Finally, weigh model lock-in and governance. Model-agnostic platforms (AWS Bedrock AgentCore, LangChain, n8n, OpenAI Frontier) let you swap LLMs as prices and capabilities shift; single-model stacks (Anthropic, Writer's Palmyra) trade that flexibility for tighter integration. At real scale, agent identity, permissions, and audit logs stop being nice-to-haves — which is exactly why Agent 365, AgentCore, and ServiceNow's Control Tower exist.
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Some links in this list are affiliate links - we may earn a commission if you buy through them, at no extra cost to you. This never affects our picks or ranking.
OpenAI's agent stack centers on Frontier, an enterprise platform launched in February 2026 for building, deploying, and governing teams of agents — each with a scoped identity, permissions, audit logs, and human-approval gates over a shared data layer. Developers code against the Agents SDK (web search, file search, sandboxed computer use); non-developers spin up Workspace Agents inside ChatGPT. Frontier is model-agnostic, so it can also orchestrate Google, Microsoft, and Anthropic agents. Best for: large enterprises standardizing and governing many production agents on OpenAI models.
Frontier
Custom
Enterprise agent platform (contact sales)
Agents SDK
Free
Open-source; API billed by usage
Workspace Agents
From $20/seat/mo
In ChatGPT Business; free preview to Jul 6, 2026
Frontier: custom / contact sales (enterprise-only, pricing not public). The Agents SDK is open-source and free; the API is usage/token-based. Workspace Agents run on ChatGPT Business (~$20/seat/mo annual) or Enterprise and stay in free preview through July 6, 2026, after which in-ChatGPT runs move to credit-based per-action pricing.
Anthropic ships a layered agent stack on its Claude models. The Claude Agent SDK (Python and TypeScript) packages Claude Code's agent loop as a library — built-in file, shell, and web tools, subagents, lifecycle hooks, permission gating, resumable sessions, and Model Context Protocol (MCP) connectors. Managed Agents runs that same loop as a hosted REST API with a per-session sandbox, and Claude Code adds a terminal and CI coding agent. The catch is cost: autonomous runs bill at full API token rates. Best for: engineering teams building production agents who want Anthropic's tooling and a self-hosted or managed runtime.
API
Usage-based
Opus 4.8 $5/$25 per M tokens; caching up to 90% off
Pro
$20/mo
$17/mo billed annually
Max
$100–$200/mo
Higher usage limits
Team
From $25/seat/mo
Premium $125/seat adds Claude Code
Enterprise
Custom
Contact sales
Usage-based on API tokens (Claude Opus 4.8 $5 in / $25 out per million tokens; Sonnet 4.6 $3/$15; Haiku 4.5 $1/$5; batch ~50% off, prompt caching up to 90% off). Claude apps: Free $0; Pro $20/mo ($17 annual); Max $100–$200/mo; Team from $25/seat/mo (Premium $125/seat adds Claude Code); Enterprise custom.
Microsoft's agent stack spans build, run, and govern. Copilot Studio is the low-code canvas for autonomous, trigger-driven agents with computer use — vision-based clicking and typing across browsers and desktop apps. Foundry Agent Service is the pro-code runtime for hosted multi-agent workflows, and the open-source Microsoft Agent Framework (Python/.NET) unifies Semantic Kernel and AutoGen. Agent 365 is the control plane that discovers, secures, and governs every agent via Entra Agent ID. It's powerful but fragmented across four products you stitch together. Best for: Microsoft 365, Azure, and Dynamics shops wanting one vendor to build and govern agents.
Copilot Studio
$0.01/credit
Or $200/mo for 25,000 credits
Agent 365
$15/user/mo
Governance; needs a qualifying M365 SKU
Foundry Agent Service
Usage-based
Billed on Azure consumption
Agent Framework
Free
Open-source (MIT)
Usage plus per-seat. Copilot Studio runs on Copilot Credits ($0.01/credit pay-as-you-go, or $200/mo for 25,000 credits). Agent 365 governance is $15/user/mo standalone (needs a qualifying Microsoft 365 SKU) or bundled in Microsoft 365 E7. Foundry Agent Service bills on Azure consumption; the Agent Framework is free and open-source.
Google Cloud's Gemini Enterprise Agent Platform — GA since April 2026 and the rebranded evolution of Vertex AI — is for building, governing, and monitoring production agents. Developers use the open-source, code-first Agent Development Kit (ADK) or the low-code Agent Studio, then run agents on a managed Agent Runtime with persistent memory, agent-to-agent orchestration, and baked-in governance (Agent Identity, Registry, Gateway). Through Model Garden you can pick Gemini 2.5 (the GA flagship), Gemini 3.1 Pro (preview), or 200+ models including Anthropic's Claude. Best for: enterprises already on Google Cloud building governed, multi-agent systems at scale.
Agent platform
Usage-based
Model tokens + sessions + search
Gemini 2.5 Pro
~$1.25/$10 per M
Input / output tokens
Gemini Enterprise
From $30/user/mo
Seat-based, annual
Trial
Free
$300 Google Cloud credit
Usage-based: you pay for model tokens (Gemini 2.5 Pro ~$1.25/M input, $10/M output; 2.5 Flash-Lite ~$0.10/$0.40; 3.1 Pro preview higher) plus session/memory storage and Vertex AI Search queries; the Agent Builder tooling adds no separate fee. The seat-based Gemini Enterprise editions start at $30/user/mo (annual). Free $300 Google Cloud trial.
Agentforce 360 builds AI agents that act on CRM data across service, sales, and commerce. You build agents in Agentforce Builder (conversational, low-code, or pro-code Agent Script), they reason through the Atlas Reasoning Engine, and they ground answers in Data 360. Agentforce Voice takes live phone and web calls with low-latency speech and human handoff, and the Summer '26 release added GA multi-agent orchestration plus MCP connections to outside tools. The value is real only if you already live in Salesforce. Best for: enterprises standardized on Salesforce CRM wanting customer-facing agents wired to their own data.
Flex Credits
~$500 / 100k
~$0.10/action; Voice = 30 credits
Per conversation
~$2
Alternative to credits
Agentforce 1
From ~$550/user/mo
Bundled edition
Foundations
Free
200k credits + 1,000 service convos (EE+)
Usage-based Flex Credits (~$500 per 100k credits; a standard action = 20 credits, a Voice action = 30) or ~$2 per conversation. The bundled Agentforce 1 Edition is listed from ~$550/user/mo. Free access via Salesforce Foundations for Enterprise Edition+ customers (200,000 Flex Credits and the first 1,000 service conversations).
Sierra, founded by Bret Taylor and Clay Bavor, builds enterprise customer-service agents that resolve issues end to end instead of just answering questions. Its Agent OS deploys agents across voice, chat, SMS, WhatsApp, email, and ChatGPT, connecting to CRM, order, and billing systems to take real actions — returns, cancellations, subscription changes. Ghostwriter lets non-technical staff build agents from plain-language descriptions, SOPs, or call transcripts. Pricing is outcome-based: you mostly pay per successful resolution. Best for: large enterprises automating high-volume support with measurable resolution outcomes.
Outcome-based
Custom
Pay per successful resolution
Enterprise
Contact sales
~$150K+/yr (third-party estimate)
Custom / contact sales. Outcome-based: you pay mainly per successful resolution, with unresolved queries and human escalations typically not charged. No public pricing or self-serve tier; third-party estimates cite ~$150K+/year starting contracts, but Sierra doesn't publish rates.
ServiceNow Otto is a unified enterprise AI layer that turns a typed or spoken request into completed work across IT, HR, CRM, and security. Employees describe intent; Otto routes it, crosses systems, and executes end to end. Underneath, the AI Agent Orchestrator plans multi-step jobs and dispatches specialist worker agents, while the AI Agent Fabric (MCP + A2A) and AI Control Tower govern, observe, and secure every agent and action. Prebuilt AI Specialists (L1 service desk, CRM) ship ready to deploy. Best for: large enterprises already standardized on ServiceNow that need governed, auditable autonomous agents across departments.
Foundation
Custom
Now Assist GenAI bundled
Advanced
Custom
Expanded AI capabilities
Prime
Custom
Required for autonomous AI agents + usage
Custom / contact sales — no public list price. As of April 2026, ServiceNow moved to three AI-native tiers (Foundation, Advanced, Prime). Now Assist generative AI is bundled across all three; fully autonomous AI Specialists require the top Prime tier plus usage-based consumption (token/assist pools). Third-party estimates put the AI premium around 25–45% over base.
Cognition makes Devin, an autonomous AI software engineer that plans, writes, tests, and ships code on its own inside your repo. Assign work from a Slack message, GitHub issue, or prompt and Devin runs in a cloud VM, opening pull requests when it's done. Its IDE, Devin Desktop (formerly Windsurf, renamed June 2026), embeds the same agent locally with an Agent Command Center for managing parallel sessions, plus Codemaps repo visualization — all powered by Cognition's fast in-house SWE-1.6 model. Best for: engineering teams wanting to delegate well-scoped tickets to an autonomous agent, not just an assistant.
Free
$0
Get started
Pro
$20/mo
Single user
Max
$200/mo
Single user, higher limits
Teams
$40/user/mo
Up to ~200 seats
Enterprise
Custom
Contact sales
Free tier ($0). Pro $20/mo and Max $200/mo (single user). Teams $40/user/mo (up to ~200 seats); Enterprise custom. Usage beyond plan allowances is metered in Agentic Compute Units (ACUs, about 15 minutes of active agent work each).
Amazon Bedrock AgentCore is AWS's infrastructure layer for running agents in production, and it's deliberately model- and framework-agnostic: agents built with LangChain, Strands, or the OpenAI/Claude Agent SDKs deploy unchanged, on any LLM. Each session runs in an isolated microVM for up to eight hours, with managed Memory, a Gateway that exposes tools as MCP, Identity, Cedar-based Policy, Observability, and sandboxed Browser and Code Interpreter tools. A 2026 managed harness runs the agent loop with no orchestration code. Best for: AWS-centric engineering teams operationalizing custom agents at scale.
Runtime
$0.0895/vCPU-hr
+ $0.00945 per GB-hr
Gateway
$0.005 / 1k
API invocations
Memory
$0.25 / 1k
Short-term events
Web Search
$7 / 1k
Queries
Free tier
$200 credit
New AWS accounts
Usage-based, no upfront fees. Runtime/Browser/Code Interpreter: $0.0895 per vCPU-hour + $0.00945 per GB-hour. Gateway: $0.005 per 1,000 API invocations. Memory: $0.25 per 1,000 short-term events, $0.75 per 1,000 long-term records/mo. Web Search $7 per 1,000 queries. Identity free via Runtime/Gateway; new accounts get up to $200 in credits.
LangChain is the developer's framework for building and operating agents. LangGraph is the open-source runtime for stateful single-, multi-, and hierarchical-agent orchestration with human-in-the-loop controls; Deep Agents adds planning, sub-agent spawning, and persistent memory for long-running tasks; and LangSmith layers on tracing, evaluations, and one-click deployment. It's model-agnostic and code-first — low-level control, not a no-code builder. Expect a learning curve in return. Best for: developers and platform teams who want orchestration control plus observability.
Frameworks
Free
LangChain, LangGraph, Deep Agents (OSS)
LangSmith Developer
Free
1 seat, 5k traces/mo
LangSmith Plus
$39/seat/mo
10k traces, 500 Fleet runs
Enterprise
Custom
Cloud / Hybrid / Self-Hosted
Open-source frameworks (LangChain, LangGraph, Deep Agents) are free. LangSmith: Developer free tier (1 seat, 5k base traces/mo); Plus $39/seat/mo (10k base traces, 500 Fleet runs, extra seats $39 each); Enterprise custom. Usage charges apply for deployment runs ($0.005/run), Fleet runs ($0.05/run), engine ($1.50/LCU), and sandboxes.
Glean's Work AI platform layers agents over a permissions-aware Enterprise Graph that indexes content from 100+ app connectors — so an agent only ever sees what the user is allowed to. Its Agentic Engine plans and re-plans as new context emerges, executing in a session-isolated sandbox with a code runtime, filesystem memory, and indexed search. A no-code Agent Builder, a prebuilt Agent Library, and orchestration (event triggers, task routing, third-party agents as callable tools) let employees automate work while governance is enforced throughout. Best for: large enterprises unifying scattered knowledge and deploying governed, permission-aware agents across many SaaS tools.
Base
~$50/user/mo
Third-party estimate
AI add-on
~$15/user/mo
On top of base
Enterprise
Custom
~100-seat min; $100K–$500K+/yr
Custom / contact sales (no public list price). Third-party estimates cite roughly $50/user/mo base plus a ~$15/user/mo AI add-on, with an ~100-seat minimum (about a $60K/year floor). Typical enterprise contracts run ~$100K–$500K+ per year.
n8n is a fair-code workflow automation platform whose AI Agent node wraps LangChain to build ReAct, tool-calling, and conversational agents on a visual canvas. Each agent has a configurable model, memory, output schema, and tool bindings; an AI Agent Tool node lets an orchestrator call sub-agents and sub-workflows for multi-agent setups. Native MCP client/server nodes connect external tools, and Wait/approval nodes add human-in-the-loop gating. Its edge is transparency: you can self-host and inspect every step. Best for: developers and ops teams building inspectable, integration-heavy agents they can self-host.
Community
Free
Self-hosted, open-source
Starter
~€20/mo
2,500 executions
Pro
~€50/mo
10,000 executions
Business
~€667/mo
40,000 executions, SSO
Enterprise
Custom
Contact sales
Usage-based per workflow execution. Cloud (annual, EUR): Starter ~€20/mo (2,500 executions), Pro ~€50/mo (10,000), Business ~€667/mo (40,000, SSO); Enterprise custom. Monthly billing runs ~17% higher. The self-hosted Community Edition is free open-source — you pay only for your server.
Writer is a full-stack enterprise AI platform built on its own Palmyra models. WRITER Agent plans and autonomously executes multi-step work across a company's data and tools, pausing for human input where it matters. The no-code Agent Builder lets non-technical teams compose agents from reusable Skills, Playbooks, and brand Voice profiles, then deploy them with admin guardrails. Event-based triggers let agents self-initiate when a Slack message or Gong call lands — running research, drafting deliverables, and updating systems. Best for: large enterprises standardizing governed, on-brand agentic workflows across marketing, sales, and operations.
Starter
$29/user/mo
Billed annually ($39 monthly)
Lite seats
Free
Run Playbooks / use Writer Agent
Enterprise
Custom
Contact sales
Published Starter plan at $39/user/mo (monthly) or $29/user/mo billed annually. Paid Pro seats get full create/automate access; free, unlimited Lite seats can run existing Playbooks and use Writer Agent. The Enterprise tier is custom / contact sales.
An agentic AI company builds software that doesn't just answer questions — it plans and takes multi-step actions on your behalf, using tools, APIs, and memory to finish a task end to end. The field spans foundation-model labs like OpenAI and Anthropic, enterprise platforms like Salesforce Agentforce, and focused agents like Cognition's Devin for coding.
Generative AI produces content — text, code, images — in response to a prompt. Agentic AI uses those same models to act: it breaks a goal into steps, calls tools and APIs, checks its own work, and carries the task through with little supervision. Put simply, generative AI answers; agentic AI does.
Yes. The open-source frameworks are free to run: LangChain and LangGraph, n8n's Community Edition, and the OpenAI and Claude Agent SDKs cost nothing (you still pay for the underlying model's API calls). Several commercial platforms — Cognition's Devin, Salesforce via Foundations, and Google Cloud's trial — also offer free tiers or credits.
For customer service at scale, Sierra leads; for autonomous coding, Cognition's Devin; for developers who want low-level control, LangChain or the Claude and OpenAI Agent SDKs; for self-hosted automation, n8n. If you already run Salesforce, ServiceNow, Microsoft, or Google, their native platforms are usually the fastest and cheapest place to start.
It varies widely. Developer frameworks are free, and you pay only for model tokens. Self-serve tools run roughly $20 to $40 per user per month (Devin, Writer). Enterprise platforms like Sierra, ServiceNow, and Glean are custom-quoted and commonly start in the six figures per year. Most usage-based plans also bill for tokens, credits, or compute on top.
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