AI strategy and readiness
Clear guidance on where AI fits and how to implement it in line with your business goals.
Assessment of your data and systems
Feasibility and highest-value use-case selection
A costed AI implementation roadmap
AI Development
AI that earns its place in the business.
Devket builds the data foundation first, then applies AI where it changes an outcome. Assistants grounded in your own content, automation kept under human oversight, and decisions backed by connected data.
LLMs · RAG · Agents · Automation · Analytics
Why Devket for AI
We already build the systems
AI ships into the products, CRMs, and platforms we design and integrate, embedded in the way your business runs, not bolted on the side.
We build with these tools daily
The current AI toolchain is what we work in every day. This very site was built with Anthropic’s Claude coding tools.
One team, design to data
Strategy, design, engineering, and data under one roof, U.S. based, so nothing gets lost in the handoffs.
Problems we solve
The problem defines the response.
AI services we offer
A full path, from strategy to a system in production.
Data foundations and analytics
Turn scattered data into a reliable foundation, then into forecasts and decisions you can act on.
Scalable data pipelines and integration
Predictive models and forecasting tools
Dashboards and decision support
Assistants and generative AI
Retrieval assistants and copilots grounded in your own content, so answers are useful and trustworthy.
Retrieval assistants on your approved content
Support and internal copilots
Chat and voice interfaces for your users
Agentic automation
Hand multi-step, repetitive work to AI agents that act across your tools, with a human in the loop.
Multi-step agentic workflows
Automation across your existing tools
Human oversight and approval controls
Custom AI and integration
Custom AI built for your workflows and embedded in the applications your team already uses.
AI embedded in your current applications
LLM integration and evaluation
Fine-tuning where your data justifies it
Responsible AI and deployment
Ship AI that is safe, traceable, and monitored, inside your own cloud.
Governance, privacy, and guardrails
Deployment into your cloud environment
Monitoring and ongoing improvement
Where it fits
AI applied to the industries we already build for
Our approach
Data foundations first, proven models second, and custom AI only where it creates real operational value.
Built to be trusted
Your data stays yours, and every answer is traceable.
Your data stays yours
We work inside your own cloud and never train public models on your data.
Human oversight
A person reviews the decisions that matter, so AI assists your team rather than replacing judgement.
Evaluation and guardrails
We measure accuracy and catch failures before they ship, then keep monitoring in production.
Traceable results
Every answer shows where it came from, so you can see and defend how a result was reached.
How it works
From data to a working AI capability
Proof
Results from real work.
[ metric ]
Add a real outcome, e.g. tickets deflected
[ metric ]
Add a real outcome, e.g. hours saved per week
[ metric ]
Add a real outcome, e.g. time to first value
“[ Client testimonial about the AI project and its result. ]”
[ Name, role, company ] · add a client case study and logo here
Start here
Begin with an AI readiness assessment.
Not sure where AI fits yet? In a short, fixed-scope engagement we audit your data and systems, find the highest-value use case, and hand you a costed plan to build it. No commitment beyond the assessment.
Tools and platforms
ClaudeOpenAIGeminiLangChainLangGraphLlamaIndexAI21 MaestroMCPRAGPineconepgvectorn8nZapierLangSmithAWSAzureGoogle CloudSnowflakeDatabricks