Where we work
Every engagement is remote and led by the engineer who does the work. What changes from city to city is the law, the working hours and what local companies most need, so each city has its own page for each service, with the place we would start marked as the best fit.
United States
New York
Best fit: On-Premise LLM Deployment. Banks, insurers and their vendors here are the buyers most likely to refuse a shared model API outright, so keeping inference inside your own account is often what gets an AI feature through a DFS-style vendor review.
San Francisco
Best fit: AI Product & MVP Development. The usual San Francisco situation is a funded founder who needs a working product in front of users before the next raise, and cannot wait four months to hire a team to build it.
Los Angeles
Best fit: AI Development Company. Los Angeles companies are building voice, video and personalised media on top of AI models, and that work needs someone who has shipped it in production, with the consent and cost questions answered.
Chicago
Best fit: Fractional CTO Services. Chicago has many established businesses that run on software without a senior technologist at the top. Part-time CTO leadership fits that gap better than a full-time executive hire.
Austin
Best fit: AI Product & MVP Development. Austin's startup scene is dominated by early-stage founders who need a working product quickly, on a budget that is not San Francisco's.
Boston
Best fit: On-Premise LLM Deployment. Boston life sciences and health companies hold research and patient data that rarely can leave their own environment, which makes a private model the usual starting point for any AI work.
Seattle
Best fit: AI Development Company. Seattle teams usually have strong engineers and cloud skills already. What they bring in is focused AI product work, such as agents, voice and retrieval, built to the same production standard.
Nashville
Best fit: Fractional CTO Services. Nashville's health care services companies often reach real scale without a senior technologist in charge. A part-time CTO who understands HIPAA and hospital procurement fits that stage well.
Denver
Best fit: AI Product & MVP Development. The Denver and Boulder scene is full of capital-efficient early-stage companies that need a real product built quickly without a large team.
Miami
Best fit: AI Development Company. Miami businesses serve customers in English and Spanish, often by phone, which makes bilingual voice and chat agents one of the most useful AI projects here.
Atlanta
Best fit: AI Data Analyst. Atlanta's payments and logistics companies generate large volumes of structured transaction data, and the questions people ask of it are exactly what a read-only SQL analyst answers well.
Salt Lake City
Best fit: Software Development Company. Utah's SaaS companies are past the idea stage and need dependable senior engineering capacity to ship their roadmap, which is what a dedicated engineer provides.
Dallas
Best fit: AI Product & MVP Development. Dallas companies often need a production app built quickly, web, mobile and backend together, rather than a long agency engagement.
Houston
Best fit: On-Premise LLM Deployment. Houston's energy companies and health systems both hold data that cannot leave their control, so a model running inside their own environment is usually the only AI they can approve.
San Diego
Best fit: AI Development Company. San Diego's biotech and engineering companies want AI over specialised research and technical data, and that work needs careful production engineering more than another chatbot.
Washington, DC
Best fit: AI Product & MVP Development. Washington's associations, nonprofits and policy organisations most often need a focused product built on a fixed budget, accessible and cheap to run.
Phoenix
Best fit: Software Development Company. Phoenix companies are growing faster than the local senior software pool, and most need dependable engineering capacity inside their own team more than a separate project.
Philadelphia
Best fit: AI Data Analyst. Philadelphia's health systems and insurers run on reporting, and a read-only analyst that answers operational questions with the SQL shown fits their data rules better than most AI tools.
Raleigh
Best fit: AI Product & MVP Development. Raleigh founders and spinouts often need a first production product built properly before they can hire a team.
Charlotte
Best fit: On-Premise LLM Deployment. Charlotte's banks and the vendors selling to them need AI that passes third-party risk and model risk reviews, and a model inside the bank's own environment is the cleanest route.
Orlando
Best fit: AI Product & MVP Development. Orlando's hospitality, health care and startup companies usually need a production app built and launched rather than a long consulting engagement.
Indianapolis
Best fit: Software Development Company. Indianapolis SaaS and mid-market companies need steady senior engineering capacity to ship their roadmap, which a dedicated engineer working in their repository provides.
Tampa
Best fit: Software Development Company. Tampa's growing financial, health and cybersecurity companies mostly need senior engineering capacity inside their own team, which a dedicated engineer provides.
Las Vegas
Best fit: AI Development Company. Las Vegas hospitality and events businesses handle huge volumes of guest calls and messages, which makes AI voice and chat agents the most useful project here.
Columbus
Best fit: AI Data Analyst. Columbus insurers, banks and retailers have deep structured data and a lot of recurring questions, which is exactly what a read-only SQL analyst handles well.
St. Louis
Best fit: AI Product & MVP Development. St. Louis founders in agtech, health and geospatial usually have deep domain expertise and need a production product built around it.
Kansas City
Best fit: Fractional CTO Services. Kansas City's established health, logistics and services firms often need senior technical leadership part time rather than a full-time executive.
Baltimore
Best fit: On-Premise LLM Deployment. Baltimore's health systems and life sciences companies want AI over clinical and research data, and Maryland's strict data minimisation rules make keeping it inside their own environment the safest route.
Pittsburgh
Best fit: AI Development Company. Pittsburgh's research-rich AI and robotics companies usually have strong models and need production AI engineering to turn them into reliable products.
Minneapolis
Best fit: On-Premise LLM Deployment. Minneapolis medtech companies and health insurers hold regulated data that rarely can leave their environment, so a private model is usually where AI starts.
Canada
Toronto
Best fit: Software Development Company. Many Toronto companies need senior engineering capacity that can pass a bank-grade vendor review, which is exactly what a dedicated engineer working in your repository provides.
Vancouver
Best fit: AI Development Company. Vancouver's games, media and SaaS companies are adding AI to products people already use, and need production AI engineering more than strategy.
Calgary
Best fit: Fractional CTO Services. Calgary's established energy and industrial businesses often need senior technology leadership to guide a move into software and AI, without hiring a full-time executive.
Edmonton
Best fit: AI Development Company. Edmonton has strong AI research but fewer engineers focused on shipping AI products, so production AI engineering is the most useful piece we add.
Montreal
Best fit: On-Premise LLM Deployment. Law 25's rules on transferring personal data outside Quebec make a model running in your own Canadian environment the simplest way to use AI on customer data.
Ottawa
Best fit: Software Development Company. Kanata's established technology companies often need senior engineering capacity for a specific product line, and a dedicated engineer working in their repository is the most direct way to add it.
Waterloo
Best fit: AI Product & MVP Development. Waterloo founders are usually technical and fast, and what helps most is a senior engineer who has shipped production products, to get the first version live and stable.
Mississauga
Best fit: AI Data Analyst. Mississauga's distribution, pharma and multinational operations run on structured data, and a read-only analyst kept inside a Canadian region fits both the data and the parent company's rules.
Winnipeg
Best fit: Fractional CTO Services. Winnipeg's established insurers, agri-food and logistics firms often need senior technology leadership for a modernisation, without hiring a full-time executive.
Halifax
Best fit: AI Product & MVP Development. Halifax founders in ocean tech, health and services usually need a first production product built properly with Canadian hosting.
Quebec City
Best fit: AI Data Analyst. Quebec City's insurers and public bodies ask many recurring questions of structured data, and an analyst that answers in French, runs in Canada and shows its working fits Law 25's transparency expectations.
Victoria
Best fit: Software Development Company. Victoria's software firms selling to government and niche markets mostly need senior engineering capacity inside their own team.
United Kingdom
London
Best fit: AI Development Company. London has a deep market for AI product work, and most of it has to hold up in front of regulated customers, which is the kind of AI engineering we do.
Manchester
Best fit: Software Development Company. Manchester's growing e-commerce, media and health tech companies mostly need dependable senior engineering capacity to ship their roadmap, not a separate agency project.
Edinburgh
Best fit: On-Premise LLM Deployment. Edinburgh's asset managers, banks and insurers want AI over confidential financial data, and keeping the model inside their own environment is usually what gets it approved.
Bristol
Best fit: AI Product & MVP Development. Bristol's engineering and creative founders have deep expertise in their field and need a production product built around it quickly.
Cambridge
Best fit: Fractional CTO Services. Cambridge spinouts are usually led by scientists with deep technical skill but no software leadership experience, which is exactly the gap a part-time CTO fills.
Birmingham
Best fit: AI Data Analyst. Birmingham's established professional services and manufacturing firms have years of operational data, and an analyst that answers questions about it is often the fastest useful AI project.
Leeds
Best fit: Fractional CTO Services. Leeds financial, legal and health tech firms often reach the stage where they need senior technical leadership, but part time rather than as a full-time hire.
Liverpool
Best fit: AI Product & MVP Development. Liverpool's smaller logistics, health and creative companies usually need a first production product built well, on a modest budget.
Brighton
Best fit: Software Development Company. Brighton agencies regularly need a senior engineer for technical builds they cannot staff in house, and a dedicated engineer working under their brand fits that need exactly.
Belfast
Best fit: AI Development Company. Belfast's security, financial and legal tech companies are adding AI to serious products, and need production AI engineering that meets their security standards.
Nottingham
Best fit: AI Product & MVP Development. Nottingham's mid-sized health, retail and services companies mostly need a production product built well rather than an open-ended engagement.
Glasgow
Best fit: Software Development Company. Glasgow's financial operations, engineering and space companies mostly need senior engineering capacity inside their own teams.
Cardiff
Best fit: AI Product & MVP Development. Cardiff founders and public sector suppliers usually need a production product built properly, often bilingual, rather than an open-ended engagement.