ThunderCoders

Our software and AI services

Software, AI, cloud, and dedicated teams—plus the readiness work that keeps you moving when conditions get demanding.

AI engineering
Production copilots, retrieval, and agent workflows that sit inside your product, with evals and access control from day one.
Software development
Web products, internal tools, and platforms built to ship on a deadline and stay operable after launch.
Cloud platforms
Infrastructure you can actually operate: environments, identity, networking, and delivery pipelines.
Software testing
Manual, automated, and security minded QA so defects do not reach users or auditors.
IT consulting
Roadmaps, build vs buy decisions, and security programs that match how your company already works.
Dedicated teams
Embedded engineers who join standups, own the backlog, and leave the repo healthier than they found it.
Support and evolution
Keep production calm: incidents, upgrades, refactors, and the next set of features.

Industries we serve

Healthcare, finance, SaaS, and operations—where access control and evidence matter as much as the next release.

Healthcare

Applications for clinics, payers, and digital health products, with access control and audit logging designed for ePHI handling.

  • Patient and provider portals
  • EHR/EMR adjacent workflows
  • ePHI-aware architecture and BAA support
  • Operational dashboards and retrieval-backed copilots for care teams
Explore healthcare

Conditions are demanding. Your engineering partner should be too.

One team for the product, the AI inside it, and the controls that hold up when someone asks hard questions.

Let’s talk

1 team

for product, AI, and control design

AI

shipped in the product, not as a side demo

SOC 2

readiness designed into delivery

HIPAA

safeguards in the architecture

Why choose ThunderCoders

AI that can survive production
Copilots and retrieval live in the product, with evals, tracing, and the same access model as everything else. We would rather ship a smaller assistant that can be reviewed than a flashy demo that cannot.
Software and readiness in one squad
You do not get a build team that throws work over the wall. The same senior engineers design the product and the controls your auditor will inspect.
Delivery you can put a date on
Milestones, demos, and a backlog that stays honest. We would rather cut scope than invent velocity.
Security in the pipeline
Identity, logging, change control, and evidence collection ride along with CI, not as a project that starts when sales needs a logo on the website.
Handover that actually hands over
Runbooks, architecture notes, and access you control. When we leave, your team can operate the system.

01

Discover

Goals, constraints, systems in play, which models and data you can actually use, and which framework is blocking revenue.

02

Design

Architecture, model and control design, and a backlog the business can see.

03

Build

Weekly increments, automated checks, and evidence captured as a side effect of shipping.

04

Operate

Production support, readiness work, and the next set of features on the same foundation.

Advanced technologies

Tools your team can run in production—not a trophy stack that looks good in a deck.

OpenAIAnthropicVercel AI SDKLangChainHugging FacePython

Case studies

Real delivery patterns from healthcare, SaaS, finance, and operations.

Healthcare
Clinical operations copilot

A retrieval-backed assistant for care ops that answered from approved procedures, with every suggestion logged and a human in the loop before anything reached a chart.

Outcome: Chart chase dropped, and the security team could show the assessor who asked what, against which source, and who approved it.

Next.js · Python · OpenAI · PostgreSQL

Healthcare
Care operations portal

A HIPAA-oriented operations console for a regional care network: role based access, audit trails, and a backlog that still moved weekly.

Outcome: Reduced chart chase time and produced control evidence the security team could reuse with their assessor.

Next.js · PostgreSQL · AWS · Okta

B2B SaaS
SaaS control plane for enterprise sales

Multi tenant admin, SSO, and logging designed so SOC 2 Type II evidence was a byproduct of how the product already ran.

Outcome: Enterprise security reviews stopped blocking the pipeline.

TypeScript · Node.js · Postgres · Vercel

Finance
Payments operations console

Internal tools for exception handling, reconciliation, and maker checker flows with PCI scope kept tight.

Outcome: Ops could clear exceptions without expanding the cardholder data environment.

React · Go · PostgreSQL · GCP

eCommerce
Retail data aggregation hub

A platform that unified store, warehouse, and marketplace feeds into one operational picture.

Outcome: Merchandising stopped reconciling three spreadsheets to answer a simple stock question.

Python · Kafka · BigQuery · Looker

Logistics
Fleet visibility and ETAs

Live shipment status, exception queues, and partner APIs for a mid market carrier network.

Outcome: Customer support had one source of truth instead of radioing dispatch.

Next.js · Node.js · Redis · AWS

What our clients say

Partnerships where the work had to hold up—not just ship.

Quotes are from recent engagements. Names and logos are withheld where client agreements require confidentiality.

“They treated the product like it was theirs: code quality, security questions, and delivery dates all in the same conversation.”

VP of Engineering

Series B healthcare SaaS

“SOC 2 stopped being a side project. Controls showed up in PRs and runbooks, not in a binder we opened twice a year.”

Head of Security

B2B platform

“We got a squad that could talk to product, legal, and infra without us translating. That shortened every decision.”

COO

Regional care network

FAQ

Contact us

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What happens next?

A short, predictable path from first note to kickoff.

  1. 01

    We read the brief

    You hear back from hello@thundercoders.com. If you need an NDA, we sign it before anything sensitive moves.

  2. 02

    We size the work

    Scope, team shape, timeline, and cost: written down, not implied.

  3. 03

    We meet

    A working session to pressure test assumptions and agree what “done” means.

  4. 04

    We start

    Access, cadence, and the first increment. Software, AI, and control design begin together.