Agentic AI is a new wave of artificial intelligence built to take initiative. Instead of waiting for instructions, it can plan, reason, and take action on your behalf. That way, you can micromanage less and automate more.
And it’s catching on fast. The total market size of agentic AI is expected to reach 42 billion dollars by 2030. Currently, enterprises are the top adopters of agentic AI to automate their workstreams.
In this article, I’ll break down how to choose the right platform and what to look out for before making a decision. I’ll also share 12 agentic AI companies that stood out during my research.
How to choose an agentic AI company for your business
Each agentic AI company has something different to offer. Some lean heavily into research, and others focus on automation. At least this was the case when I looked into some of them while trying to understand the factors to choose the best agentic AI.
Let’s take a closer look:
- Autonomy and control. Agentic AI should be autonomous, but not at the cost of control. The best platforms let you set goals, define limits, and step in when needed.
- Multi-step reasoning and planning. Agentic systems shine when it comes to breaking down complex tasks. They should be able to handle branching logic, conditional flows, and long-term planning without breaking down.
- Learning capabilities. Can the AI learn from what it’s done before? Can it improve if something doesn’t work the first time? Look for tools with reinforcement learning, feedback loops, or options to fine-tune behavior over time.
- Integrations with other apps. A strong agent needs to connect with the rest of your stack. Look for platforms that support key tools like CRMs, calendars, internal APIs, and project management apps.
- Security and compliance. If your AI is making decisions, security matters. Choose platforms with strong access controls, audit logs, and compliance with standards like SOC 2 or ISO 27001. End-to-end encryption is a must.
- Customer support. Agentic AI can get complex. When something breaks, fast and helpful support makes a difference. Good documentation helps, but access to real people who understand the system is even better.
Our top picks for agentic AI companies
The best agentic AI companies
1. Boltic
Best for: Marketing teams, product managers, and startups that want to automate AI workflows without coding.
Boltic is an all-in-one AI workflow automation platform that helps teams design, connect, and run AI-powered processes from a single dashboard.
You can set up multi-step workflows that combine multiple AI models, APIs, and third-party apps, then run them automatically based on triggers or schedules.
The platform supports advanced logic, allowing you to create conditional paths, loop steps, and even involve human review when needed.
Plus, its drag-and-drop interface means non-technical users can get up and running quickly, while developers can tap into the API for more customization
Boltic is particularly useful for marketing teams, product managers, and startups looking to cut repetitive manual work and speed up decision-making without investing heavily in custom development.
Pricing: From free 30-day trial to $199/month for Enterprise level.
Key features:
- Drag-and-drop workflow builder with AI model integrations.
- Conditional logic and multi-step automation.
- API access for custom workflows.
Drawbacks: While Boltic is beginner-friendly, its advanced features can take time to master, especially for teams without prior automation experience. Customization options are still somewhat limited compared to more developer-focused platforms.
2. Microsoft Copilot
Best for: Users looking to embed smart AI assistance across Microsoft 365 tools, Windows, and development workflows.
Microsoft Copilot weaves AI into the Microsoft 365 apps you already use: Word, Excel, PowerPoint, Outlook, and Teams. It helps draft content, analyze spreadsheets, summarize emails, and even prepare meeting notes, all without leaving your workflow.
By combining large language models with your organization’s data in Microsoft Graph, Copilot can deliver tailored outputs while keeping information secure.
For companies deeply embedded in Microsoft’s ecosystem, this means no new platforms to learn and instant AI assistance right where work happens.
From turning raw data into charts in Excel to creating polished slide decks in minutes, Copilot is designed to take care of repetitive tasks so you can focus on decision-making and strategy.
Pricing: Free with limited features; $20/month for one user.
Key features:
- Native integration with Microsoft 365 apps.
- AI-powered writing, data analysis, and presentation creation.
- Real-time collaboration and meeting summaries in Teams.
Drawbacks: Limited availability for non-Microsoft 365 users and less customization compared to standalone AI tools.
3. Adept AI
Best for: Teams wanting AI agents to automate complex, cross-app workflows from simple prompts.
Adept AI brings agentic automation to the apps your team already uses. Its agents understand what they see on the screen and can navigate UIs, click buttons, type input, and pull data faster without a break.
For example, an Adept agent can log into a CRM, scrape data, drop it into a spreadsheet, generate a report, and queue an email autonomously.
What makes it stand out is a full-stack design powered by multimodal models trained on trillions of web UI interactions, reliable actuation via a proprietary domain-specific language (DSL), and resilience to interface changes.
New workflows are up in minutes, not months, and deployment can scale from HR to finance to operations.
Pricing: Enterprise pricing only; contact sales for custom options.
Key features:
- Screen-aware automation via multimodal agents.
- Natural language commands for intuitive setup.
- High accuracy in UI recognition and web understanding for reliable execution.
Drawbacks: Adept’s advanced features come with complexity. Setting up workflows takes technical familiarity, and licensing is enterprise-only, which may not suit smaller businesses.
4. OpenAI (via GPTs & API agents)
Best for: Developers, startups, and enterprises seeking a flexible platform for building custom AI agents and applications.
OpenAI’s API gives you access to the same models that power ChatGPT, including GPT-4o, GPT-4 Turbo, and GPT-3.5. The platform offers what you need to build conversational agents, automated workflow, and creative tools.
Developers can chain models together, integrate them with external tools, and fine-tune outputs for industry-specific use cases.
The API is well-documented, with a growing ecosystem of integrations and plugins, making it ideal for teams who want full control over how AI behaves.
With multimodal capabilities spanning text, image, and audio, OpenAI’s agentic AI systems that can reason, plan, and act across diverse contexts.
Pricing: Pay-as-you-go, starting at $0.005/1M tokens (pricing varies by model).
Key features:
- Wide selection of models, including GPT-4o with multimodal capabilities.
- Flexible agent creation via GPTs or API-based workflows.
- Strong developer tools, documentation, and community ecosystem.
Drawbacks: Requires technical skills to set up and manage effectively, and costs can add up quickly for high-volume or complex workloads.
5. LangChain (for building AI agents)
Best for: Developers building complex AI applications that need flexible model orchestration and integration with diverse data sources.
LangChain is a powerful open-source framework designed to help developers build applications that leverage large language models (LLMs) in sophisticated, multi-step workflows.
Its core strength lies in orchestration, which is the ability to chain together multiple models, tools, and data sources into a single, cohesive system.
As an agentic AI, LangChain provides the core tools to build AI solutions, from chatbots with memory to API-connected agents and retrieval-augmented generation (RAG) pipelines.
Plus, LangChain integrates with hundreds of data connectors and APIs, supports vector databases for semantic search, and enables advanced reasoning capabilities through agent-based architectures.
Pricing: Start for free; has a monthly plan for $39 and Enterprise pricing.
Key features:
- Broad integration support for LLMs, vector databases, APIs, and third-party tools.
- Built-in orchestration for multi-step workflows and agent-based reasoning.
- Modular design to swap components without rewriting the entire pipeline.
Drawbacks: LangChain’s flexibility comes with complexity, making it less suitable for beginners. Plus, it’s speculated that developers are leaving LangChain since its official documentation has struggled to keep pace with its rapid development cycle.
6. Cognition (for software engineers)
Best for: Engineering teams eager to experiment with AI agents that can plan, write, debug, and even deploy code autonomously.
Cognition, through Cognition Labs, is the company behind Devin. It’s an AI agent that can take entire developer tasks from prompt to execution.
You can describe exactly what you need, whether it is debugging, feature development, or documentation, and Devin will break it down, write the code, test, debug, and even push updates.
The company recently launched Devin 2.0, which adds a cloud-based IDE, parallel agent sessions, the ability to query your codebase, and live collaboration tools.
With pricing starting at just $20 per month on a pay as you go model, Devin is now accessible to teams of all sizes. It offers a fast way to offload routine engineering work, reduce backlogs, or prototype ideas without the need to hire extra hands.
Pricing: Starting at $20; up to $500/month for teams and custom Enterprise pricing.
Key features:
- Executes coding tasks end-to-end inside a cloud IDE.
- Supports multiple parallel sessions and interactive planning sessions.
- Auto-generates project documentation with features like DeepWiki and search tools.
Drawbacks: Needs some integration and setup to fit neatly into your existing workflows. Teams with complex processes might need extra time to get everything running smoothly.
7. Cresta (Sales & contact center agents)
Best for: Contact center and sales teams looking for real-time AI that boost performance, simplify coaching, and scale what top reps do best.
Cresta is a conversational AI platform built for contact centers and sales teams who want smarter, faster results without reinventing the wheel. It listens to every interaction and turns them into insights, guidance, and coaching that actually help agents.
Real-time co-pilots assist agents with the best responses, next-step recommendations, and objection handling, all while syncing with your brand voice and compliance rules.
Plus, managers get visibility into what works by analyzing behaviors linked to outcomes like retention, upsells, or conversions.
Pricing: Enterprise pricing structured by agent volume and use case.
Key features:
- Real-time agent assistance.
- Coaching through conversation intelligence that tracks and scores 100% of interactions.
- Omnichannel AI agents that handle chat, voice, and cross-channel context to keep conversations on track.
Drawbacks: Cresta comes with a premium price tag and requires integration with existing contact center systems, so it’s best suited for larger teams. Setup can take time, and managing change across agents requires commitment.
8. Sierra (for customer services)
Best for: Businesses that want to improve customer experience with AI-powered service automation.
Sierra is built for teams that see customer experience as a competitive advantage. It uses AI to handle and improve customer service interactions at scale, blending natural language processing, and intelligent routing so customers get the right response faster.
Sierra’s AI learns as it goes, meaning it becomes more accurate and effective over time. And unlike rigid automation, it can adapt its tone based on the customer’s mood. It also understands customer questions and analyzes sentiment.
It plugs into your existing CRM and support tools, so you don’t have to overhaul your systems to see results.
Pricing: Sierra uses an outcome-based pricing model, meaning you pay for measurable results like resolved conversations.
Key features:
- Advanced natural language understanding for precise query resolution.
- Sentiment analysis to tailor tone in real time.
- CRM integration for a unified customer experience.
Drawbacks: Requires training time and good-quality data to perform well. Performance may drop if data is outdated or inconsistent. The platform may be overkill for businesses with very simple customer service needs.
9. Beam AI
Best for: Creative teams and marketers looking to generate on-brand content quickly with AI that understands style and context.
Beam AI is designed to take the headache out of content creation by blending AI-powered writing with style and brand consistency. It offers smart suggestions and generates text for various media that feels natural and on point.
What sets Beam apart is its ability to learn your brand’s voice and keep your messaging coherent across channels. The platform makes it easy to collaborate and iterate on drafts, speeding up the writing process without losing quality.
If your team struggles with writer’s block or wants to scale content production without sacrificing personality, Beam AI could be a great fit.
Pricing: Platform subscription starts at $499 per month; custom setup services begin around $10,000.
Key features:
- Brand voice adaptation to keep messaging consistent.
- Collaboration tools for team editing and feedback.
- Multi-format content generation including emails, blogs, and social posts.
Drawbacks: Custom AI agent setups can be costly and require collaboration with their team. This means it’s best suited for businesses ready to invest in tailored solutions.
10. HyperWrite
Best for: Writers, bloggers, and professionals who want a smart AI assistant to speed up writing directly in their browser.
HyperWrite is a browser-based AI writing assistant designed to help you draft, edit, and refine content without leaving your workflow.
It offers real-time suggestions that can complete sentences, rephrase awkward phrasing, or spark fresh ideas, making writing feel less like a chore and more like a collaboration.
Whether you’re working on emails, articles, or social posts, HyperWrite adapts to your style and helps you find the right words faster. Its intuitive interface blends seamlessly into your browser, so you get AI support wherever you write online.
Pricing: Free basic plan available; premium plans start at $16 per month for expanded features.
Key features:
- Real-time sentence completions and suggestions.
- Rephrasing and grammar fixes to polish your writing.
- Idea generation to overcome writer’s block.
Drawbacks: Limited offline support means you need an internet connection to use it. Suggestions can sometimes feel generic and require editing to add personality.
11. NinjaTech AI
Best for: Tech startups and small businesses that need an easy-to-use AI platform.
NinjaTech AI is built to help smaller teams simplify and automate repetitive tasks. It combines workflow automation with AI-driven insights to make daily operations smoother and smarter.
The platform offers a straightforward setup and a developer-friendly API for custom integrations, making it flexible enough to grow with your business.
NinjaTech AI delivers practical AI tools without the complexity of big enterprise software. It’s a solid choice for startups and growing businesses that want to bring AI into their operations quickly and without hassle.
Pricing: Starts at $15/month and up to $35/month.
Key features:
- AI-powered workflow automation.
- Real-time analytics and reporting.
- Developer API for custom integrations.
Drawbacks: While NinjaTech AI offers powerful automation, its dashboard can feel cluttered for smaller teams just starting out. Some key features require coding skills, which may slow down adoption for non-technical users.
12. Reka AI
Best for: Businesses that want to quickly build and deploy AI agents for customer engagement and internal support without heavy coding.
Reka AI makes it easy and fast for you to create AI agents that can handle customer questions, sales chats, or internal support tasks.
It supports multi-turn conversations and keeps track of context, so your AI agents can have natural, helpful back-and-forths with customers or team members.
With drag-and-drop tools and plenty of customization options, Reka AI works well whether you’re technical or not. If you want to reduce your support load or automate common questions, Reka AI strikes a nice balance between ease of use and powerful features.
Pricing: Pricing is flexible and depends on your usage and how many agents you run. You can get custom quotes tailored to your needs.
Key features:
- Low-code drag-and-drop AI agent builder.
- Context-aware conversation management.
- Multi-channel support including web chat, SMS, and messaging apps.
Drawbacks: Some advanced features require technical setup, which can be a hurdle for teams without dedicated developers. Costs may rise quickly as usage scales, so you need careful planning.
Get started with agentic AI
If you’re ready to harness the power of agentic AI for your business, Boltic makes it easy to get started. With its intuitive drag-and-drop interface, you can design multi-step AI workflows that automate complex tasks without writing a single line of code.
Simply connect your favorite AI models, APIs, and apps, then set triggers to run your processes automatically. Even if you’re new to AI, Boltic’s user-friendly platform and helpful tutorials will guide you every step of the way.
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