Custom software development in Boston
Plenty of Boston's investment firms still run parts of their operations on workbooks and shared inboxes: onboarding, fee calculations, reconciliations, client requests. Each workbook was built by someone who understood the process, and each one now depends on that person being in the office. Client details are forwarded between colleagues, fee figures are copied by hand from one sheet to the next, and a quarter-end that should take a day takes a week.
We replace those workbooks with internal tools built around how the operations team works. We sit with the people who use them, collect the exceptions they handle from memory, and write the process down before building anything. Client data lives in one system, with access by person, multi-factor sign-in and a record of who viewed or changed each entry, and the tool connects to the portfolio and CRM systems you already pay for. Old data comes across with counts and totals checked against the source.
Boston's software buyers mostly work in science, medicine, education and money: biotech and pharmaceutical companies in Cambridge and the Seaport, the hospital systems, digital health start-ups, the universities and the companies spun out of them, and the asset managers and insurers downtown. In most of them, software supports something else, an experiment, a patient or a portfolio. The people who commission it are often scientists and clinicians, many of whom write some code themselves and know exactly what they need the data to do. What they want from an engineer is not a new idea. It is the idea they already have, made reliable.
The work follows the science. Biotech labs need instrument output picked up as it lands and linked to the notebook entry that explains it, and internal tools that stay fast on thousands of assay results. Digital health companies need a backend that can read from a hospital's records system, and patient apps that save offline and keep the time each entry was made. Edtech companies selling to universities need platforms that know a teaching assistant from a department administrator. Lab suppliers need commerce that runs on purchase orders and negotiated prices, and the investment firms downtown need internal tools to replace the workbooks that run their operations.
Hiring has its own shape. Built In puts the average software engineer base salary in Boston at about $137,000, and the city's engineers are pulled between big tech offices, well-funded biotech and university spin-outs. The universities keep research talent in good supply. What teams more often lack is someone who has taken a system from a notebook or a prototype to something that runs unattended, is monitored, and survives its author going back to the lab. That gap, between a result that works once and a system that keeps working, is where we are most useful.
We are in Bengaluru and move our working day for Boston. Four hours of every working day overlap with your morning in Eastern time, stand-up included, so questions, reviews and decisions happen live with the engineer who writes the code. Runbooks and architecture notes are written as we go, so the system keeps running when the people who commissioned it go back to the lab.
We are the right fit for the gap between a result that works once and a system that keeps working: a pipeline, a hospital integration, a patient app, an internal tool. Senior capacity starts within days, the first piece is a fixed-price two-week engagement, and it can carry you from a funding round or grant to your first engineering hire.
Four ways this arrives.
Approvals, schedules or stock, tracked in a shared file with colour codes only one person understands. We turn it into an application with proper records, permissions and history, so you can see who changed what and when, and nobody works from an old copy.
Staff copy data from one system into another by hand, and the two slowly drift apart. We connect them through their APIs, clean up the data where it crosses over, and alert someone when a sync fails instead of letting it fail quietly.
The numbers exist, spread across exports and inboxes, and someone assembles a report by hand every Monday. We pull them into one place, build the dashboard the people making decisions will actually open, and check it is current rather than trusting the job that feeds it.
A legacy application still runs the business and every change to it is a risk. We map what it really does, move it piece by piece onto something maintainable, and keep both running until the last piece has landed. No weekend cut-over.
A facilities operations platform for a healthcare estate, built so supervisors can see what is overdue and what keeps coming back without exporting spreadsheets by hand.
Read the write-up →Asked by Boston teams.
How do you work with teams in Boston?+
We are in Bengaluru and move our working day for Boston, so four hours of every working day overlap with your morning in Eastern time, stand-up included. We join your Slack, push to your GitHub and track the work in your Linear, so progress shows up where your team already looks. The person on every call is the engineer who writes the code, whether you are a scientist, a clinician or a CTO.
Do you build for Boston's biotech and life sciences companies?+
Yes. The work is usually the software around the science: pipelines that pick up plate reader, sequencer and imaging output as it lands and link it to the notebook entry, internal tools that stay fast on thousands of assay results, and search over protocols and SOPs that always cites the current version. We work alongside your computational scientists, turning what already works in their notebooks into systems that run unattended.
How does your rate compare to hiring in Boston?+
Built In puts the average software engineer base salary in Boston at about $137,000, before bonus and benefits. Our published rate is $35/hour, or $5,400 a month for an embedded engineer, with a $5,000 minimum. There is no recruiting time and no employment overhead, and work starts within days of the call. The first piece is a fixed-price two-week engagement at $2,800, so you judge us on what it produces.
What do the first two weeks look like?+
You share the context: the code, the data and the problem. Within two days you have a 30-minute call with the engineer who would do the work, and within a week a written plan. Then comes a fixed-price two-week piece at $2,800, such as turning one notebook or prototype into something that runs on its own. At the end you have working code in your repository, notes on how it runs, and a clear view of what comes next.
Why not buy an off-the-shelf tool?+
Often you should, and we will tell you when. If a product already does most of what you need, configuring it is cheaper than building. Custom software earns its cost when the process is how you compete, when you pay for several tools to do one job badly, or when the workarounds cost more staff time than the software would.
Can you work with the systems we already have?+
That is usually the job. Most internal tools are valuable because of what they connect to: an ERP, a work-order system, a CRM, a finance package. If it has an API, we integrate with it. If all it offers is a nightly export, we can work with that too, and we will tell you how fresh the data can honestly be.
How do you find out what we actually need?+
By talking to the people who do the work, not only the people who asked for the tool. We watch the spreadsheet being used, collect the edge cases everyone handles from memory, and write the process down before we build anything. The first release covers the core of it; the exceptions follow once people are using it.
What happens to our old data?+
It comes with you. We migrate it, check the counts and totals against the source, and keep the old system or spreadsheet readable until your team is confident nothing was lost. Where the old data is inconsistent, we show you the records that do not fit rather than quietly guessing what they meant.
Who looks after it once it is live?+
You choose. We can stay on at our hourly rate for changes and fixes, or hand it to your own team with runbooks, architecture notes and a recorded walkthrough. Internal tools change as the business changes, so we build them to be changed by someone other than us.