
Firstech provides seamlessly process image cash letters and NACHA formatted ACH File. We also offer BAI and EDI format reporting to our clients, which others dont.

Cloudcraft
Hava.io
Lucidscale
Holori
Hyperglance
CloudocKit
Infracost
Cloudeval AI reviews ARM templates, Bicep (compiled to ARM) and AWS CloudFormation (beta) before you deploy, and audits live Azure environments, with architecture diagrams plus cost, security and Well-Architected findings from 1,650+ checks.

Website, pricing, platforms and company facts side by side.
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| Website | firstechpayments.com | cloudeval.ai |
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| Company | 1984 | Startup from India · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


As a subsidiary of a financial institution, FirsTech provides unique opportunities for you that differentiate us from the competition. We can seamlessly provide you with the ability to process image cash letters and NACHA formatted ACH files, as well as provide specific reporting—such as BAI and...
Cloudeval AI is a pre-deployment review layer for cloud infrastructure. Point it at ARM templates, Bicep compiled to ARM, AWS CloudFormation (beta) or a live Azure subscription, and it maps the architecture as a diagram, then flags cost, security and Well-Architected issues using 1,650+ checks,...
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FirsTech: History & Heritage
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As answered by people managing FirsTech and Cloudeval AI.
Cloudeval AI's answer:
Cloudeval is a pre-deployment decision layer, not just a diagramming or linting tool. It reads ARM templates, Bicep (compiled to ARM), AWS CloudFormation (beta) or a live Azure environment, maps the real architecture as a diagram, and runs 1,650+ attributed cost, security and Well-Architected checks, so every finding comes with evidence you can verify. The same review runs in the web app, the CLI, a GitHub Action on pull requests, and an MCP server for AI coding agents.
Cloudeval AI's answer:
Most tools do one piece: diagramming tools like Cloudcraft or Hava draw what is already deployed, cost tools like Infracost estimate spend, and scanners flag policy violations. Cloudeval combines architecture diagrams, cost, security and Well-Architected findings in one evidence-backed review, and it runs before deployment on ARM and Bicep, which few tools cover. It also fits where teams already work: pull requests through a GitHub Action, the terminal through the CLI, and AI agents like Codex, Cursor and Claude Code through MCP.
Cloudeval AI's answer:
Cloud architects, platform engineers and DevOps teams who ship Azure infrastructure with ARM or Bicep, plus AWS teams using CloudFormation. It also suits consultants reviewing client environments and teams using AI coding agents that need grounded infrastructure context.
Cloudeval AI's answer:
Cloudeval is built by Ganak AI Labs, an Indian AI startup. Validation only tells you a template will deploy, not whether the change is safe to ship. Cloudeval was built to close that gap: turn infrastructure code into a clear picture of what will change and the evidence behind each risk, before it reaches production.
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