AI & Custom Software Development Services
Accedia is a European company providing AI and custom software development services through over 250 in-house engineers. We help clients create AI products and business applications, modernize legacy systems, and extend platforms already in use.
Accedia at a Glance
50+
AI Projects Delivered for Clients
Generative AI, AI agents, and machine learning across 12+ sectors.
70%
Projects With AI-Assisted Development
GitHub Copilot and Claude, governed centrally across delivery.
4-8 Weeks
To a Production-Quality MVP Release
The first release covers up to 80% of the final scope.
91%
Client Retention Across Engagements
The average client relationship lasts five years or more.
Our Custom Software Development Services
Application Development
Accedia develops web, mobile, and backend applications, either new or as extensions of systems you already use. The team also modernizes legacy platforms that no longer support new integrations.
Artificial Intelligence
Generative AI, AI agents, and machine learning, from use-case assessment to production and MLOps. Accedia has delivered more than 50 AI projects in finance, manufacturing, technology, and healthcare.
Data Analytics
Data platforms, pipelines, and business intelligence reporting. As a Databricks partner, Accedia also prepares company data for machine learning and generative AI projects.
Cloud Engineering
Accedia migrates applications to Microsoft Azure, AWS, or Google Cloud and develops cloud-native software. Security requirements and running costs are planned before any migration starts.
DevOps & Automation
For teams that still deploy manually, Accedia sets up CI/CD pipelines, infrastructure as code, and monitoring. Changes start with the steps in the release process that cause the longest delays.
Quality Assurance
Test engineers cover functional, performance, and security testing, both manual and automated. AI-generated test scaffolding lets them write tests earlier, and defect escape rate is tracked on every project.
Accedia AI Delivery Report 2026
The report analyzes Accedia’s AI delivery, covering use cases, trends, pricing, governance, and outcomes.
Download the ReportHow We Deliver Custom Software
1
Discovery and Scoping
We review your business goals, current systems, and constraints, then agree on scope and priorities. For most projects, the team starts work within two weeks of sign-off.
2
Architecture and Planning
Senior architects define the technical approach, integrations, and security requirements. A dedicated Engineering Manager, at no extra cost, runs delivery and reports on progress.
3
Iterative Development
Work runs in sprints with AI-assisted development and a demo at the end of each one. The first production-quality release covers most of the scope agreed during discovery.
4
Testing and Release
Automated tests and code review run from the first sprint, and every release goes through CI/CD. Your team gets regular reports on how many defects reach production.
5
Support and Evolution
After launch, the engineers who wrote the software stay on to maintain and extend it. This avoids a handover to a separate support team and the delays that usually follow.
How AI Fits Into Our Software Delivery
Accedia develops AI features for client products and uses AI tools in its own engineering. Both follow the same controls for data access, code review, and model release.
AI Products and Features
Generative AI assistants search across company documents, recommendations, and predictive models, added to new or existing applications. Accedia connects them to your data and to the systems your teams already use.
AI Agents and Automation
AI agents that carry out multi-step work across your systems, such as checking invoices or answering routine requests. Document processing reads, classifies, and routes incoming files without manual data entry.
AI-Assisted Legacy Modernization
About 30% of Accedia's application development projects in the past 12 to 18 months included AI-assisted legacy work. AI helps engineers analyze Java, .NET, VB6, and WinForms code and document business rules.
Data Control and Governance
AI features can run inside your private network, so sensitive data stays in your environment. Every model goes through governance checks before release, as part of Accedia's managed delivery process.
AI-Assisted Engineering
Engineers use GitHub Copilot and Claude for code generation, test scaffolding, and documentation. Senior engineers review every AI-assisted change, and the time saved goes into testing and defect reduction.
Castle Trust Bank: Digital Lending Platform
Castle Trust Bank serves nearly 165,000 customers in the UK. Over ten years, Accedia has engineered and improved OmniPort, the bank's loan origination system. It processes applications in minutes and handles over 200,000 lending decisions a year. About 80% of customers receive a fully automated decision, and 2,000+ retailers connect through APIs.
Invenda: IoT Platform for Automated Retail
Accedia helps develop Luna, Invenda's automated retail platform, used across 22 countries. Transactions queue locally during connectivity drops and sync once the connection returns. Machine learning on Azure Databricks supports predictive maintenance, and APIs are tested against OWASP standards. Operators using the platform report up to 60% higher transaction revenue per machine.
Vet-AI: Veterinary Telehealth Platform
Accedia stabilized Vet-AI's core platform under a strict deadline, restoring compatibility with Shopify and partner APIs. The team then automated clinical trial management, including recruitment and insurer checks, and trial costs have dropped by 40%. Release velocity has increased 20x, and the platform has delivered over 850,000 AI-powered symptom checks.
SKF: Bearing Assist Maintenance App
Since 2022, an Accedia product team has led discovery, UX research, and modernization of SKF's Bearing Assist app. The iOS and Android app changed from a static product catalogue into a guided maintenance tool. It includes measurement tracking, traceability journals, and an AI agent grounded in SKF's technical documentation.
Software Development in Action
Castle Trust Bank: Digital Lending Platform
Castle Trust Bank serves nearly 165,000 customers in the UK. Over ten years, Accedia has engineered and improved OmniPort, the bank's loan origination system. It processes applications in minutes and handles over 200,000 lending decisions a year. About 80% of customers receive a fully automated decision, and 2,000+ retailers connect through APIs.
Invenda: IoT Platform for Automated Retail
Accedia helps develop Luna, Invenda's automated retail platform, used across 22 countries. Transactions queue locally during connectivity drops and sync once the connection returns. Machine learning on Azure Databricks supports predictive maintenance, and APIs are tested against OWASP standards. Operators using the platform report up to 60% higher transaction revenue per machine.
Vet-AI: Veterinary Telehealth Platform
Accedia stabilized Vet-AI's core platform under a strict deadline, restoring compatibility with Shopify and partner APIs. The team then automated clinical trial management, including recruitment and insurer checks, and trial costs have dropped by 40%. Release velocity has increased 20x, and the platform has delivered over 850,000 AI-powered symptom checks.
SKF: Bearing Assist Maintenance App
Since 2022, an Accedia product team has led discovery, UX research, and modernization of SKF's Bearing Assist app. The iOS and Android app changed from a static product catalogue into a guided maintenance tool. It includes measurement tracking, traceability journals, and an AI agent grounded in SKF's technical documentation.
Software Development for Your Industry
Banking & Fintech
Loan origination systems, AI-based KYC and fraud checks, and customer portals for banks and lenders. Projects often connect new software to legacy core systems and to third-party services such as credit bureaus.
Manufacturing & Automotive
Maintenance apps for field technicians, production data platforms, and IoT software that connects machines to the cloud. AI is used for predictive maintenance and for on-site assistants that answer technicians' questions.
Energy & Utilities
Real-time data platforms for energy trading, plus predictive maintenance and consumption analytics for producers and utilities. One example is an intraday platform that automates dispatch for a Swiss energy company.
Information Technology
Platform modernization, support portals, and new product development for software vendors, SaaS providers, and other technology companies. Accedia teams work within each client's own engineering processes and tools.
Business Development Manager
Alexandra Davidkova
Alexandra has 13+ years in business development with finance, manufacturing, energy, and media companies. She works with CIOs and IT leaders to understand the problem behind each software or AI project. She brings in Accedia's engineers to plan the solution.
Software Development Engagement Models
Awards and Recognitions
Partnerships
Certifications
Awards
Rankings
FAQ
What does Accedia specialize in?
More About AccediaAccedia specializes in AI and custom software development for industries including fintech, manufacturing, and energy. Its engineers develop new applications and AI products, modernize legacy systems, and add AI features to existing platforms. Clients include Castle Trust, SKF, and Lufthansa Technik. Accedia has been named to the IAOP Global Outsourcing 100 four years in a row.
What kind of AI projects does Accedia deliver?
Accedia AI Development ServicesAccedia has delivered more than 50 AI projects for clients. Common use cases include AI agents, conversational assistants, and intelligent document processing. Others cover computer vision inspection, predictive maintenance, demand forecasting, fraud detection, and recommendation engines. Client-verified results include 35% fewer fraud incidents in banking and 30% lower controllable operational losses in manufacturing.
Does Accedia provide custom software development for mid-sized businesses?
Yes. Clients include specialist UK lenders such as Castle Trust and Shawbrook, and growing companies such as Vet-AI. Among Accedia's external AI clients, 55% have annual revenue below $1 billion and 27% between $1 billion and $5 billion. Mid-sized companies can hire a dedicated team with its own Engineering Manager or add engineers to their in-house team.
Where is Accedia based?
Accedia is a European AI and custom software development company, founded in 2012 and headquartered in Sofia, Bulgaria. It has 250+ in-house engineers working across software, AI, data, cloud, and quality assurance. All of them are permanent Accedia employees. Clients in the US, UK, and across Europe work with Accedia, and relationships average five years or more.
Discuss Your Software Project
Describe the software you need to develop or modernize. What to expect:
- A call with engineering and business leads
- A review of your systems and constraints
- An initial view of the scope, team, and timeline your project needs
