From AI Development to Engineering Support
BigStep builds AI products and agents, along with the testing needed to make sure they work as expected. We help run them on the right platforms, infrastructure and data so they remain fast, affordable and private. When your team needs additional expertise, we bring in senior engineers, training and advice to help them take things forward independently.
- 18+years building software
- 180+engineers
- 700+products delivered
- 95%of clients stay with us
Which Practice Do You Need?
If you have an AI idea to develop, a pilot that hasn’t moved forward, or an AI system that’s live but not working as expected, start with
AI EngineeringIf your AI works but costs more than expected, relies on messy data, or needs to run entirely within your own network, start with
AI Platforms & InfrastructureIf you need new software built or want your engineering team to change how it builds software, start with
Software EngineeringIf you’re struggling to hire the right people or need help deciding what to build, start with
Talent, Enablement & Advisory
A free session gives us 90 minutes to understand your needs and help you find the right direction.
Book a Free SessionOur offerings
Build · AI Engineering
Getting AI to work in a real product takes more than a good demo.
We often see AI projects stall between the first demo and the point where people can use them in their day-to-day work. This practice covers this from adding AI features to your product and building agents for repetitive tasks to testing the systems and catching problems.
Run · AI Platforms & Infrastructure
Your AI is working. Now you need to understand the costs, data and infrastructure behind it.
Once an AI system is in use, questions come up about the cost of each request, where your data goes, and whether the model is getting the right information. This practice helps you manage those parts of the system.
“I can’t tell you what a thousand AI requests cost us.”
Core · Software Engineering
You need software built, and your engineers need a better way to build it.
AI features are part of a larger product, and the software around them still needs to be built and maintained. This practice covers product development, helping your engineers change how they work, and designing interfaces that people can understand and trust.
“Everyone has the AI tools. Our delivery hasn’t changed.”
Scale · Talent, Enablement & Advisory
You need experienced & AI-ready talent, help developing your existing team, or advice on where to start.
Hiring people with the right AI experience can take time, and sometimes it’s not clear which skills the team needs yet. BigStep can bring senior engineers into your team, train the people you already have, or help you work out which approach makes the most sense.
What the Work Looks Like
Three projects from the services above, with the problem each one started from and what changed.
AI Engineering · United StatesTransforming Lease Proposal Creation with AI for Faster Deal Cycles
Global CRE Technology LeaderWriting a lease proposal meant reading through the documents, pulling out the terms, modelling the cash flow and drafting the offer, and the whole thing took hours. We built a system, on OpenAI, AWS and Docker, that reads the documents, extracts the details, models the cash flow and drafts the proposal.Read the Full Case Study
AI Engineering · IndiaHomeBuild Assist — AI-Powered Construction Planning Wizard
ConstructionWe built a self-serve planning and estimation system that turns architectural drawings into structured cost insights in minutes instead of days. It improves accuracy through multi-pass extraction and delivers city-specific material and labour estimates across 6 Indian cities. It seamlessly connects estimation to dealer discovery, with persistent projects you can resume anytime, anywhere.Read the Full Case Study
AI Platforms & Infrastructure · New ZealandFine-Tuning a Sovereign LLM for an AI Agent Platform
Confidential ClientThe whole product ran on someone else’s frontier-model API, so a change in that provider’s price, speed or behaviour became a change in the product. We fine-tuned an open-weight model (Qwen3) and hosted it ourselves. Around it we set up a versioned model registry, a data flywheel that feeds real usage back into training, and live evaluation to show how each version performs.Read the Full Case Study
Tell Us What You’re Trying to Get Done
Book a free 90-minute session with a senior engineer and a solution architect. No salespeople. You’ll come away with three AI ideas worth pursuing in your own business, a rough sense of the effort and payoff for each, and a two-page summary you can pass to whoever signs off the budget.