Generative AI development company
that ships, not just demos.
Most generative AI projects die in the demo. They win the meeting, then fall apart the first time a real user trusts them with real data. We are a generative AI development company that builds the other kind: AI features inside your product, grounded in your data, with the evaluation and guardrails that keep them honest in production. For SaaS, healthcare, and expert-led teams.
Scoped estimate in 3 to 5 days. No obligation, NDA on request.
“They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.”
Kayode Leonard
Founder, Project Wolf
Selected clients and shipped projects
Awesome Kyiv
Shelfit
Who you work with
We have shipped generative AI that runs in production
HighCraft is a senior team that pairs full-stack engineering with applied AI for healthcare, SaaS, and expert-led businesses. We have earned Top Rated and a 100 percent Job Success Score on Upwork, one five-star delivery at a time.
We build this for ourselves too. WebReaper, our open-source .NET scraper, ships an MCP server and a bring-your-own-model AI fallback. Quell renders its coaching audio with on-device neural text-to-speech. On a healthcare platform we shipped AI that reads a patient lab PDF and turns it into plain language a provider can use mid-call. You work with the engineers who built those, not a sales layer in front of them.
2 weeks
idea to working prototype
End to end
prototype to production
Senior
engineers, no handoffs
The honest question with generative AI is not which model, it is whether the thing holds up when a real user leans on it. We build on the retrieval-augmented generation pattern of retrieval and tool use, with evaluation against real examples and a human in the loop where a wrong answer is expensive, so the output is grounded in your data instead of confidently making things up.
What we actually build
Generative AI that survives contact with a user
Four things we ship, each grounded in your data and measured before it goes live.
AI features inside your product
Drafting, summarizing, classification, and extraction built into the workflow your team already uses, not a separate toy beside it. The model reads your data, the user stays in control, and the feature earns a second open instead of one demo and a shrug.
AI agents that do the work
Agents that take a goal, call your tools and APIs, and finish a multi-step task, with the checkpoints and guardrails that keep an autonomous loop from wandering off. We ship the evaluation harness with them, because an agent you cannot measure is an agent you cannot trust.
Chatbots grounded in your data
Assistants that answer from your own documents and systems over retrieval, with citations, so a reply traces back to a source instead of a confident guess. The unglamorous part, keeping the index fresh and the answers in scope, is most of the work and most of the value.
The boring 90 to 99 percent
Going from a demo that works most of the time to something you put in front of a customer is the actual job. We build the retrieval, the example sets, and the evaluation that close that last gap, on Azure OpenAI, Claude, or the model that fits the task and the budget.
When the answer is not generative AI
Not every problem needs a model. A rules engine, a search box, or a well-placed query often beats an LLM on cost, speed, and predictability, and we will say so before quoting one. Generative AI earns its place when the input is messy language, the rules are fuzzy, and a human would otherwise spend real time on the judgment. We tell you which case you are in before the build, not after.
100%
Job Success on Upwork
5.0
Average client rating
Top Rated
Agency on Upwork
11 yrs
Engineering leadership
HIPAA
Aligned delivery
Recognition
Awards and accreditations
Verified on Upwork and recognized by independent agency directories.
Built for the rules healthcare runs on. Practices documented, not implied.
Security & trustAI Prototype Sprint
Validate the workflow before you fund the platform.
A two-week sprint that turns a complex workflow into a working prototype, architecture direction, and a build estimate you can act on.
- Working prototype
- Workflow map
- Architecture recommendation
- AI opportunity and risk assessment
- Delivery roadmap
- Fixed or phased build estimate
Two weeks, one fixed scope. You own everything we build, whether or not you continue.
Week 1
Discover the workflow, build the spine
Week 2
AI where it pays back, then prototype + estimate
Engagement models
Four ways to engage, and a low-risk way to start
We fit the model to the project and the risk, not to our invoice. Most clients start with a two-week discovery sprint that turns the idea into a working prototype and a real estimate, then move into whichever model fits the build.
Time and materials
You pay for the hours you use, billed weekly or monthly. The right call when scope is still moving and you want to steer as you go.
Dedicated team
A senior team embedded with yours and billed monthly, scaling up or down as the roadmap changes. Built for ongoing work, not a one-off.
Fixed price
Agreed scope, agreed price, agreed date. Works when the requirements are already clear and you want certainty before you sign.
Fixed milestones
Phased delivery, paid one milestone at a time. A way to take on a larger build and de-risk it stage by stage.
What clients say
Clients trust us with messy, real-world software
From regulated healthcare workflows to payment-heavy platforms and internal business systems, the common thread is delivery that survives production.
Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.
Oleg Shumar
Owner, GetTrusted.io
They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.
Kayode Leonard
Founder, Project Wolf
Really enjoyed working with HighCraft.io. They are true professionals that know how to get things done. They were hardworking and skillful, exactly what we were looking for.
Maxim Grossman
Executive, Enigmex Technologies
HighCraft team did a great job creating a brand new site for my company, and I am loving it. It is exactly what I wanted and the team were true professionals and very nice to work with.
Alina Virstiuk
Founder, AwesomeKyiv
What we do
Three ways we turn complex workflows into working software
Start with a prototype, add AI where it creates leverage, or build the full production platform.
Working prototypes
A working prototype built around the real edge cases, so you can validate scope before funding a full build. The cheapest way to find the edge case nobody mentioned.
AI-enabled features
AI inside the product you already run: intake, search, summarization, classification, recommendations, or workflow assistance, with evaluation and guardrails. Built so a real user opens it twice.
Production platforms
Custom platforms built for real users: integrations, permissions, billing, audit trails, and maintenance. HIPAA-aware where it has to be.
Free vendor-risk check
Before you build, check the risk first.
Answer a few plain-English questions and get a vendor-risk read on ownership, proof of work, data exposure, and handover gaps before you fund the build.
- Takes about 3 minutes
- No patient data
- Built for vendor decisions
The page shows the first risk instantly. Email sends the full report.
Related work
Where generative AI fits the rest of the build
The AI is one layer. These are the others we ship around it.
Selected work
Software that works, in production
Our clients get to focus on their business, instead of babysitting the stack that holds it together. Client cases below are anonymized where compliance demands; the rest ship under their own names.
How we build
How we build AI workflows that stay controllable
Agentic does not have to mean opaque. We put the controls where the risk is: permissions, approvals, and audit around every AI-assisted step.
Frontend
The product your users and staff actually work in.
API
Typed contracts and validation at the boundary.
Workflow engine
The deterministic spine: states, rules, and handoffs.
Agentic workflow layer
Inspects context, suggests next steps, and triggers tools, with human approval where it matters.
AI / LLM services
Models behind evaluation and fallback logic, not raw and unchecked output.
Integrations
EMR, Stripe, CRM, scheduling, and internal APIs.
Audit, monitoring, permissions
Every AI-assisted step logged, observable, and role-gated.
Controls, not black boxes
- Human approval for sensitive actions
- Tool calls scoped by permissions
- Audit logs for every AI-assisted step
- Evaluation and fallback logic, not raw model output
- Role-based access throughout
- Observability in production
- Integration with EMR, Stripe, CRM, scheduling, or internal APIs
FAQ
Hiring a generative AI development company
What buyers ask before they start.
What does a generative AI development company actually do?
We build generative AI into products: features like drafting and extraction, AI agents that complete multi-step tasks, and assistants that answer from your own data. Most of the work is the engineering around the model, retrieval, evaluation, and guardrails, not the prompt. The model is one part, not the product.
How much does generative AI development cost?
Send the use case and we reply with a scoped estimate, usually within 3 to 5 business days. Cost tracks the data work, the integrations, and how high the accuracy bar is, since getting from a 90 percent demo to a 99 percent product is most of the budget. You can work hourly, fixed price, or as a dedicated team.
Which AI models do you build on?
Whichever fits the job. We ship on Azure OpenAI, Anthropic Claude, and open models, and we keep the system model-agnostic so you are not locked to one vendor when a better or cheaper option lands. Switching models should be a config change, not a rewrite.
Will the AI make things up?
That is the risk we engineer against. We ground responses in your data with retrieval, cite the source, evaluate against real examples, and put a human in the loop where a wrong answer is expensive. You cannot drive hallucination to zero, but you can measure it and keep it inside a bound you decide.
Can you build AI agents, not just chatbots?
Yes. Agents that call your tools and APIs and finish a task are a core part of what we build, with checkpoints and an evaluation harness so an autonomous loop stays inside the lines. A chatbot answers a question. An agent does the work, and the engineering bar is higher.
Do you add AI to our existing product or start fresh?
Both. We add AI features into a live system over its existing APIs, and we build new AI-first products from scratch. The approach changes with the stage. The grounding and evaluation discipline does not.
When are you not the right fit?
If a rules engine, a search box, or a plain query already solves your problem, we will point you there instead of selling you a model that costs more and answers less predictably. Generative AI is the right call for messy language and fuzzy judgment, not for work a deterministic system already does well.
Start a project
Tell us about your project
Send the shape of the problem, even if the requirements are still blurry. We reply with a scoped estimate, usually within 3 to 5 business days. No obligation, NDA on request.
- A senior engineer reads every brief, not a sales rep.
- If an off-the-shelf tool fits better, we will tell you.
- NDA on request before you share anything sensitive.
Prefer email? Write to business@highcraft.io
Rather talk it through? Book a 30-minute estimate review
“Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.”
Oleg Shumar
Owner, GetTrusted.io