Support volume your team cannot keep up with
The same questions arrive on repeat, around the clock, while your team is only available for part of it. Response times slip and customers notice.
AI Powered Software
AI Powered Software Development Services
We build AI features grounded in your own data, not a generic demo. Chatbots that know your business, search that finds the right answer, and document automation that actually holds up in production.
- 12+ Years Experience
- Grounded In Your Data
- Guardrails Built In
- You Own The Model
0+ Years of combined experience
0+ AI features shipped to production
0% Client satisfaction
0/7 Monitoring & support
The cost of going without AI
Is manual effort the only thing standing between you and AI?
If any of these feel familiar, a well-scoped AI feature is not a luxury, it is the fix. Every one of these problems is solvable with the right approach and the right data.
Hours lost reading and sorting documents
Contracts, invoices, applications and forms still get read and tagged by a person, one at a time, when the information inside them is largely predictable.
Search that never finds the right answer
Your team or your customers know the answer exists somewhere in your docs, tickets or knowledge base, but keyword search keeps coming up empty.
Decisions made on gut feel, not data
You have the data to predict demand, flag risk or rank leads, but nobody has built the model that turns it into a usable signal.
No clear plan for AI, just pressure to have one
Leadership is asking what the AI strategy is, but most suggestions so far amount to bolting a chatbot onto the website without solving a real problem.
Off-the-shelf AI tools that do not fit your data
Generic AI products are trained for the average use case. They do not know your catalog, your customers or your internal terminology, and it shows.
Built with proven tools
Technologies we work with
We match the model and stack to the problem. These are the tools we know well and trust to build on, chosen for reliability, not trend cycles.
AI OpenAI
Cl Anthropic Claude
Ge Google Gemini
LC LangChain
Li LlamaIndex
HF Hugging Face
Pt PyTorch
Tf TensorFlow
Py Python
Pc Pinecone
Wv Weaviate
pg pgvector
Fa FastAPI
No Node.js
Br AWS Bedrock
Az Azure AI
Do Docker
Rd Redis
Pg PostgreSQL
Gi Git
What we build
Our AI powered software services
From a single grounded chatbot to a full document automation pipeline, every project is scoped around a real problem and tested against your actual data before launch.
AI Chatbots & Virtual Assistants
Customer-facing and internal assistants trained on your own content, that answer accurately, escalate when they should and improve from real conversations.
AI-Powered Search & RAG
Retrieval-augmented search over your documents, tickets and knowledge base, so people find the right answer in seconds instead of digging through folders.
Document Intelligence
Automated extraction, classification and summarization of contracts, invoices and forms, turning unstructured documents into usable data.
Predictive Analytics & Forecasting
Models trained on your historical data to forecast demand, flag churn risk or score leads, turning patterns you already have into decisions you can act on.
LLM Integration & API Development
OpenAI, Anthropic, Gemini and open-source models integrated into your existing product or workflow through clean, well-tested APIs.
Custom Model Fine-Tuning
Models fine-tuned or grounded on your own data, so outputs match your tone, your terminology and your actual use case instead of a generic default.
Computer Vision Solutions
Image and video analysis for quality inspection, object detection or content moderation, built around the accuracy your use case actually requires.
AI-Augmented Workflow Automation
Automations that use AI for the judgment calls inside a workflow, like classifying a request or drafting a response, with a person reviewing before anything ships.
Responsible AI & Guardrails
Input validation, output filtering, rate limiting and human review steps built in from day one, so AI features fail safely rather than silently.
AI Strategy & Feasibility Audits
An honest assessment of where AI would actually help your business, what data you would need, and what the realistic cost and timeline looks like, before any build begins.
MLOps & Model Deployment
Production infrastructure for serving, monitoring and retraining models, so performance does not quietly degrade after launch.
Maintenance & Support
Ongoing monitoring of model performance and costs, prompt and pipeline updates, and a fast helpdesk that keeps AI features reliable.
Who we work with
Industries we serve
We have built AI features across regulated, fast-moving and data-heavy sectors. We learn your data and your constraints before we recommend a model.
Healthcare
Financial Services
Education
Hotels & Hospitality
Real Estate
Manufacturing
Logistics
Startups
Agencies
Professional Services
Why choose us
AI development done the right way
Anyone can wrap an API call in a chat window. We start with whether AI is the right tool at all, ground every feature in your own data, build in guardrails from day one and keep watching it after launch. These are the standards behind every AI feature we ship.
Start your project-
We start with the problem, not the model
Every engagement starts by asking whether AI is actually the right tool for the problem, and what the simplest version that solves it would look like.
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Guardrails built in from day one
Validation, output filtering and human review steps are part of the architecture, not a patch added after something goes wrong in production.
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Monitored after launch
Model performance, cost and accuracy are tracked in production, so drift or runaway API spend gets caught early, not discovered on an invoice.
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Grounded in your own data
We fine-tune and ground models on your actual content and terminology, so outputs sound like your business, not a generic template.
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Honest about what AI cannot do yet
We will tell you when a rules-based approach is more reliable than an AI one. The goal is a feature that works, not a feature that sounds impressive.
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You own the model and the code
Full IP assignment on every contract. Fine-tuned models, prompts, pipelines and code belong to you, with no vendor lock-in.
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Overlap with your hours
Three to four hours of daily overlap with US, UK and Canada time zones, so reviews and demos happen during your working day.
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Long-term support
We stay around after launch. Most support issues are resolved overnight your time, before your team notices a degraded model in the morning.
How we work
Our AI development process
Eight clear stages, each with a visible output you can review and approve. No black box between feasibility and launch.
- 01
Discovery & Feasibility
We assess whether AI genuinely solves the problem, what data exists and what a realistic version one looks like.
- 02
Strategy
Model selection, architecture, data sources and guardrails agreed and documented before development begins.
- 03
Data Preparation
Source data cleaned, structured and connected, since model quality depends entirely on what it is built on.
- 04
Development
Models integrated, fine-tuned or built, with the surrounding application built in reviewable sprints alongside it.
- 05
Evaluation & Testing
Accuracy, edge cases, bias and failure modes tested against real examples before anything reaches a user.
- 06
Rollout
Staged launch, often starting with internal users or a limited audience, before opening up fully.
- 07
Monitoring
Live tracking of accuracy, cost and drift, so performance issues are caught before users notice them.
- 08
Support
Ongoing tuning, retraining and new features as your data and use cases evolve.
What is included
A chatbot widget is not the same asset
The difference between a generic AI plugin and a feature built on your data is everything that happens once a real customer asks a real question. Here is what comes standard with every AI project we deliver.
What you get Generic AI widget Devlon StedyDesk
Built around your own data
Full IP ownership of models & code
Guardrails & human review built in
Honest feasibility assessment first
Production monitoring for drift & cost
Fine-tuned to your tone & terminology
Integrated into your existing systems
Generic pre-trained chatbot widget
Off-the-shelf prompt templates
Post-launch support & monitoring
Client words
Trusted by businesses running AI that actually works
The assistant they built handles roughly 60% of our tickets on its own now, and it escalates the right ones instead of guessing. Our team finally has time for the complex cases.
Document processing that used to take a person half a day now runs automatically with a quick review step. The accuracy has been better than we expected.
They talked us out of building a custom model when a well-grounded RAG setup would do the job for a fraction of the cost. That honesty is rare and it paid off.
Questions, answered
AI powered software FAQs
How much does an AI feature cost to build?
Most AI projects land between $8,000 and $80,000+ depending on complexity, data preparation needs and whether fine-tuning is involved. A focused chatbot or search feature sits at the lower end; a custom model with full MLOps sits higher. Every quote is itemized before work begins.
How long does it take to build an AI feature?
A focused feature like a grounded chatbot or document classifier typically takes 4 to 10 weeks. Larger projects involving custom model training or multiple integrated AI features usually run 12 to 20 weeks.
Do we need our own AI model, or can we use existing ones?
Most projects do not need a model trained from scratch. We typically integrate and ground existing large language models like GPT, Claude or Gemini on your data, which is faster, cheaper and usually just as effective as training something custom.
Will the AI feature actually be accurate?
We test against real examples from your business before launch and set realistic accuracy expectations upfront rather than overpromising. Guardrails and human review steps are built in for anything where a wrong answer carries real cost.
How do you prevent the AI from giving wrong or made-up answers?
We ground responses in your actual data through retrieval-augmented generation rather than relying purely on a model's general knowledge, and we add validation, source citation and escalation paths so uncertain answers get flagged instead of guessed.
Can you integrate AI into our existing software?
Yes. Most of our AI work is integrated into systems that already exist, such as adding a search or assistant feature to a current product, rather than building something entirely separate.
Is our data safe if we use AI features?
Yes. We design data handling around your privacy and compliance requirements, including which providers see your data and how it is stored, and we are upfront about the tradeoffs of different model providers before you commit to one.
What if AI is not actually the right solution for our problem?
We say so. Part of our discovery process is determining honestly whether a rules-based system, a simpler automation or no change at all would serve you better than an AI feature, even if that means a smaller project.
Can you build computer vision or image-based AI features?
Yes. We build computer vision solutions for use cases like quality inspection, object detection and content moderation, scoped around the accuracy and speed your use case actually requires.
How do you keep ongoing AI costs under control?
We monitor API usage and model costs in production and design for efficiency, such as caching, smaller models where appropriate and request batching, so costs stay predictable as usage grows.
Do you provide support after the AI feature launches?
Yes. Our maintenance plans cover monitoring for model drift, accuracy and cost, prompt and pipeline updates, and a monthly bucket of improvement hours, with most issues resolved overnight your time.
What happens after launch?
Every project includes a handover, documentation and a warranty window for fixes. Most clients move onto an ongoing support plan, and we are often brought back to extend the feature as more data and use cases come in.
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ExploreReady to find out if AI actually fits your problem?
Tell us what you are trying to solve. You will get a straight, honest answer on whether AI helps, what it costs and how long it takes, usually within one business day.