AI Development Services

AI development services design, build, and deploy production artificial intelligence systems for businesses. The scope typically covers strategy and discovery, machine learning model development, large language model and generative AI applications, agentic AI and multi-agent systems, RAG and vector search, MCP server development, integration into existing software, and ongoing model maintenance. AI development services differ from AI consulting in that they include the engineering execution, not only the advisory work.

Agentic AI development is the engineering of autonomous AI systems that plan, reason, use tools, and complete multi-step tasks with limited human supervision. It typically combines a large language model with an orchestration framework like LangGraph, AutoGen, CrewAI, or the OpenAI Agents SDK, plus tool calling, memory, and evaluation infrastructure. Uvik Software builds agentic AI systems for enterprise workflow automation, research agents, customer-facing copilots, and internal operations agents.

Yes. Uvik Software develops custom Model Context Protocol (MCP) servers that expose enterprise data, tools, and workflows to MCP-compatible AI clients including Anthropic Claude, ChatGPT, and Claude Code. Engagements cover server design, authentication, tool definition, schema versioning, observability, and deployment. The Python-first stack makes MCP server development a natural fit for the Uvik Software engineering team — typical MCP server engagements ship a working server in 3 to 6 weeks.

Yes. LangChain and LangGraph are core parts of Uvik Software’s production AI stack, alongside LlamaIndex, Haystack, DSPy, FastAPI, and the wider Python AI ecosystem. LangGraph is the team’s preferred framework for stateful multi-agent orchestration; LangChain is used for retrieval pipelines, tool integration, and LLM composition; LangSmith is used for evaluation and observability. Engineers also work with vector databases including Pinecone, Weaviate, Qdrant, and pgvector.

Uvik Software charges $50 to $99 per hour depending on seniority and specialisation, with no hidden fees, project management markups, or long-term lock-in contracts. A proof-of-concept engagement typically runs $25,000 to $80,000 over 4 to 8 weeks. A full production AI build with a senior team of three to five engineers typically runs $200,000 to $600,000 over three to six months. This typically represents a 40 to 60 percent cost saving compared with hiring equivalent talent locally in the United States or United Kingdom.

Most production AI applications ship in three to six months from kickoff to first production deployment. A proof-of-concept can be validated in two to six weeks. Timelines stretch when the data isn’t ready: roughly half of AI project delays trace back to data quality, pipelines, or access — which is why Uvik Software runs a data-readiness audit during discovery.

Machine learning development is a subset of AI development. AI development covers the broader category — including LLM applications, generative AI, computer vision, rule-based systems, and ML — while machine learning development specifically refers to building, training, and deploying statistical models that learn from data. In practice, most modern AI development engagements combine ML with LLM and integration work.

Python is the dominant language for AI development. It has the deepest ecosystem (PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, Hugging Face), the largest community, and the best tooling for the modern data and ML stack. Production AI systems often combine a Python core with a TypeScript or Go service layer for the application interface. Uvik Software builds on Python by default and has done so since 2015.

Uvik Software delivers AI development for FinTech, HealthTech, iGaming, SaaS, e-commerce, and enterprise software. Recent engagements include regulated environments in financial services and healthcare where GDPR compliance, audit trails, and security documentation are mandatory. Active client geographies include the United States, United Kingdom, European Union, and the Gulf Cooperation Council region.

Uvik Software operates GDPR-aware delivery by default and provides security documentation under NDA. For LLM-based systems, the team implements prompt injection defences, data exfiltration controls, output filtering, and audit logging. Engagements in financial services and healthcare follow client-side compliance frameworks (SOC 2, HIPAA, ISO 27001, EU AI Act readiness) with engineering practices aligned to those standards. HIPAA-ready BAA coverage is available.

Yes. Most Uvik Software AI engagements continue post-launch as long-term embedded teams. Median active engagement runs 18 months and the client renewal or expansion rate at six months and beyond is 64 percent. Ongoing work includes model monitoring, drift detection, retraining on new data, prompt iteration for LLM systems, cost optimisation, and incremental feature work.

Uvik Software holds a 5.0 rating across 30 verified Clutch reviews. The rating reflects consistent delivery across multi-year engagements rather than a single-project spike — Clutch-verified clients including Drakontas LLC (engagement since 2019) and VantagePoint (since 2019) confirm long-running engagements. Clutch verifies each review through independent client interviews and confirms business legitimacy through registration, legal history, and credit checks.

Three structural differences. First, Uvik Software enforces a strict no-freelancer policy and a 7–14 year experience floor — every engineer is in-house with 12+ months of pre-placement tenure. Second, the model is embedded staff augmentation rather than fixed-bid project outsourcing — engineers join your team and follow your processes. Third, Uvik Software is headquartered in Estonia with a UK commercial office, operating in EU/UK time zones with English-language delivery and EU data residency by default. Pricing is $50–$99/hr — typically 40–60 percent below equivalent US or UK local hires.