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AI Engineering · DevOps · Software Development

AI Engineering, DevOps, and Software Development for working business processes

acty.dev builds, deploys, and supports AI-enabled software workflows for small and mid-market businesses that need practical automation, reliable software delivery, and measurable implementation value — not another pilot that never ships.

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Three commercial directions

AI Engineering service visual with workflow inputs, review gates, and production output trays AI workflows AI Engineering LLM, document, data, and review workflows built around a real business process.
  • LLM integration
  • Document/data processing
  • Human review gates
 DevOps-enabled delivery visual with release tracks, build packages, gates, and rollback switch Production path DevOps-enabled delivery Release, deployment, and smoke-check work that makes software shippable.
  • Cloudflare deployment
  • GitHub Actions
  • Release checks
 Software development service visual with modular business software blocks and data contracts Business software Software Development Internal tools, dashboards, APIs, and workflow apps for operational work.
  • Dashboards
  • Internal tools
  • API integrations

Proof of work

Prediction-market analytics proof visual with event cards, a market price-history chart, a news panel, and an AI analysis tray Polymarket Analytics Workspace Document-preparation SaaS proof visual with a customer request intake, an operator review queue, and a finished document delivery tray CraftedTerms Document-Preparation SaaS Procurement Power BI proof visual with supplier and manufacturer panels, a min-to-max price-range chart, and delivery-delay indicators Procurement Power BI Analytics Job-application automation proof visual with a candidate profile card, ranked job matches, an evidence map, and a generated resume and cover-letter package Job Application Automation Platform

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Best fit / anti-fit

Best fit

  • Small and mid-market companies
  • Companies in the US and UK first, with room for international clients later
  • Buyers with an existing workflow, system, dataset, operational bottleneck, reporting process, production/MES context, integration problem, or delivery need
  • Buyers who need implementation, production delivery, or ongoing support, not just advice

Anti-fit

  • Micro-budgets
  • Idea-only requests with no real process, data, system, or operational problem
  • Solo hobby projects
  • Requests where the buyer cannot share enough context to scope the work