We build functional PoCs that let you test your AI initiatives in practice and prove their business value.
We analyze your business challenge, identify where AI can deliver real value, and prioritize the most promising use cases for validation.
What you get:
We turn your AI concept into a functional prototype, allowing you to test the core idea with real users and data before investing in full development.
What you get:
We build and validate Generative AI solutions for your specific business needs, from content generation and summarization to intelligent assistants and automation.
What you get:
We build a RAG-based solution that connects AI models to your business knowledge, helping you evaluate how accurately and reliably AI can work with your own data.
What you get:
We develop AI agents that can reason, use tools, and complete multi-step tasks, helping you assess where autonomous AI can improve business processes.
What you get:
Explore our AI projects across different industries and use cases to see how we turn AI ideas into practical solutions.
50% faster task execution
We built an AI-powered personal coach that helps users manage goals, turn them into actionable plans, and break them into tasks and milestones through a chat interface. It also tracks progress and keeps users on track with intelligent reminders.
65% average token cost savings via prompt caching
For a Swedish automotive startup, we built a production-ready AI mechanic that helps drivers diagnose car issues using symptoms, fault codes, photos, and vehicle data. The app identifies the exact vehicle through license plate lookup across 9 countries, combines real repair data with 24 specialized diagnostic tools, and delivers transparent, step-by-step guidance with cost estimates.
100% regulatory compliance
For WealthFluent, we built a financial AI assistant that explains financial data without providing regulated financial advice. AI handles the conversation, while a separate calculation engine handles all financial calculations. This ensures the assistant never makes up numbers and gives users accurate, reliable information.
We help you move from an idea to a validated Proof of Concept quickly, giving you the expertise, speed, and clarity to make the right investment in AI.
Our AI-accelerated development practices help us build and validate PoCs 2-4x faster, so you can test your idea without long development cycles.
Our dedicated AI Hub continuously experiments with new models and tools. We test and validate approaches internally before bringing them to your project.
You work directly with senior AI engineers who understand your business goals, explain technical decisions clearly, and focus on practical outcomes.
Our established PoC process takes you from use case assessment and feasibility to development, testing, and results, without unnecessary complexity.
We design PoCs with production in mind and provide a clear roadmap for scaling, including architecture, infrastructure, and next steps.
We turn promising AI ideas into functional PoCs that help you make confident decisions about what to build next.
Akveo builds PoCs around your specific business challenge, data, workflows, and AI goals.
We build AI PoCs for personalized learning, AI tutors, content generation, and educational assistants, helping you test how AI can improve learning experiences.
We develop AI PoCs for factory copilots, process optimization, and intelligent data analysis, helping teams validate AI use cases across production and operations.
Our team builds AI PoCs for document processing, claims automation, underwriting support, and knowledge assistants.
We help fintech companies validate AI use cases by developing AI PoCs for financial assistants, document analysis, and process automation.
We build AI PoCs for vehicle data analysis, customer support, and operational automation, helping automotive companies test new AI-driven experiences.
We develop RAG solutions that make complex technical documentation, operational data, and commercial contracts easier to search and understand, helping teams seamlessly find critical information.
We validate AI use cases across complex data and processes by building PoCs for technical knowledge assistants, document processing, and operational support.
We develop secure AI PoCs for clinical documentation, knowledge assistants, administrative automation, and data analysis.
We combine leading AI models, development frameworks, and cloud technologies to quickly build, test, and validate AI solutions.
Choose the engagement model that fits your AI PoC goals, timeline, and team structure.
Create a working product to test and validate your business idea, with a polished, production-ready approach and a focused feature set.
Timeline & Pricing: 4-6 weeks, typically $15K
We assess your workflows, prioritize the highest impact opportunities, and help you ship real AI systems.
Timeline & Pricing: fixed fee
Develop a full production-ready solution with secure access control and key integrations included from the start.
Timeline & Pricing: 3-5 months, from $60K
Most of our AI PoCs take around 4-6 weeks, depending on the complexity of the use case, data, integrations, and level of functionality required.
A PoC typically includes the core AI functionality, relevant data or system integrations, a working user experience, testing, and an evaluation of results.
We start by understanding your business goal, data, workflows, and technical requirements. Based on this assessment, we select the most suitable approach, whether it involves generative AI, RAG, AI agents, or another technology.
Once the PoC is validated, we help you determine the next step. This can include refining the solution, optimizing its architecture and performance, estimating production requirements, and creating a roadmap for scaling.
95% of our partners continue working with us beyond the initial scope and more than 70% stay with us for 2+ years.
