Software Alternatives, Accelerators & Startups

ProbeAI VS Emisar.dev

Compare ProbeAI VS Emisar.dev and see what are their differences

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ProbeAI logo ProbeAI

AI Copilot for Data Analysts

Emisar.dev logo Emisar.dev

One governed MCP server connects any AI agent to a finite action catalog, enforced on-host with pack trust, policy gates, human approvals, and a hash-chained audit trail.
  • ProbeAI Landing page
    Landing page //
    2023-04-04
  • Emisar.dev Approvals
    Approvals //
    2026-07-21
  • Emisar.dev Audit Log
    Audit Log //
    2026-07-21
  • Emisar.dev Policies
    Policies //
    2026-07-21
  • Emisar.dev Runner fleet
    Runner fleet //
    2026-07-21

Emisar is the last MCP server youโ€™ll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ€” and every call is recorded.

Emisar.dev

Website
emisar.dev
$ Details
freemium $20.0 / Monthly (per runner)
Startup details
Country
United States
State
CA
Founder(s)
Andrew Dryga
Employees
1 - 9

ProbeAI features and specs

  • User-Friendly Interface
    ProbeAI's interface is designed to be intuitive and easy to navigate, making it accessible for users with varying levels of technical expertise.
  • Advanced Predictive Analytics
    The platform provides strong predictive analytics capabilities, allowing businesses to derive meaningful insights and make data-driven decisions.
  • Customization Options
    ProbeAI offers a range of customization options, enabling users to tailor tools and features according to their specific needs and industry requirements.
  • Comprehensive Data Integration
    It supports integration with multiple data sources, ensuring that users can gather insights from a wide range of datasets.

Possible disadvantages of ProbeAI

  • Cost
    ProbeAI might be expensive for small businesses or startups with limited budgets, offering pricing plans that may not be suited for all users.
  • Learning Curve
    Despite its user-friendly interface, some users might experience a learning curve when trying to utilize more advanced features effectively.
  • Limited Offline Functionality
    The platform relies heavily on internet connectivity, which can be restrictive for users needing to work offline or with unstable internet connections.
  • Customer Support
    Some users have reported limitations in customer support availability or response times, which can affect the overall user experience.

Emisar.dev features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to ProbeAI and Emisar.dev)
Developer Tools
100 100%
0% 0
AI Tools
0 0%
100% 100
Analytics
100 100%
0% 0
Infrastructure Monitoring

Questions & Answers

As answered by people managing ProbeAI and Emisar.dev.

How would you describe the primary audience of your product?

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Which are the primary technologies used for building your product?

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Who are some of the biggest customers of your product?

Emisar.dev's answer:

  • Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.

What's the story behind your product?

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

What makes your product unique?

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

Why should a person choose your product over its competitors?

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

User comments

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