GenAI & AI Agents
Copilots, retrieval systems and agents wired into your real tools and data.
Sunday Labs is a boutique, founder-led AI and data consultancy. We design the strategy, build the data foundations and ship production AI for US companies, with senior engineers at a cost that makes sense and overlapping hours that keep work moving.
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At a glance
Our team covers 8am to 1pm Eastern (5am to 10am Pacific) live from India, with async updates through your afternoon and on-call around the clock for managed services.
State privacy laws, HIPAA, GLBA, FCRA and ECOA, Colorado AI Act and NYC Local Law 144, NIST AI Risk Management Framework
A 30-minute call with a founder, then a fixed-price proposal within days.
How we operate
Our team covers 8am to 1pm Eastern (5am to 10am Pacific) live from India, with async updates through your afternoon and on-call around the clock for managed services.
Stand-ups, demos and decisions happen in the hours shown in gold, on a call with the people doing the work.
Outside the overlap, work moves forward with written updates, recorded demos and pull requests you can review in your own time.
For managed services, monitoring and incident response run 24x7 against agreed SLAs, whatever the time zone.
Why the United States
Delivered from Gurugram, India, with senior engineers who have built at companies like Amazon, Google, Microsoft, Uber or Meta.
Every project is led by an engineer who has built at companies like Amazon, Google, Microsoft, Uber or Meta, billed at rates that are a fraction of a US consultancy. No junior bench.
Your 8am to 1pm Eastern is our afternoon and evening, so stand-ups, demos and decisions happen live. Everything else runs asynchronously with written updates.
We design for HIPAA, GLBA, FCRA and state privacy laws from the first sprint, so your legal team is not surprised at launch.
Code, models, prompts and documentation belong to you. We work inside your AWS, Azure or Google Cloud accounts and your GitHub.
What we do
Pick a single engagement or let us run the full programme, from strategy to systems in production.
Copilots, retrieval systems and agents wired into your real tools and data.
Find where AI moves your numbers and sequence a roadmap people believe in.
Lakehouses, clean pipelines and governed metrics that every model depends on.
Forecasting, pricing, churn and demand models, plus dashboards people open.
CI/CD for models, observability and cost controls that keep AI reliable.
Process redesign, change and responsible AI aligned with the rules that apply to you.
How we work
A tight, repeatable loop. Every phase ends with something you can use, not just something you can read.
Stakeholder interviews, data audit and a ranked backlog of AI use cases scored on value, feasibility and risk.
Target architecture, success metrics and an evaluation plan agreed before a single line of production code.
Small senior squads ship in weekly increments with your team embedded, so knowledge transfers as we go.
Hardening, monitoring and rollout across teams, then a clean hand-off or a lean run-and-improve retainer.
Built responsibly
California (CCPA and CPRA), Colorado, Virginia, Texas, Connecticut and a growing list of states regulate personal data, consent and automated decisions.
Health data in AI systems needs business associate agreements, minimum-necessary access and audit trails.
Financial institutions and lenders need explainable credit decisions, adverse-action reason codes and fair-lending testing.
Early rules on high-risk AI decisions and automated hiring tools, with impact assessments and bias audits.
The reference most US boards and auditors use to judge whether AI is governed properly.
This is general information about the regulatory landscape, not legal advice. We work alongside your legal and compliance teams.
Where we see demand
AI features inside SaaS products, usage analytics and support automation for product teams that need to ship fast.
Credit decisioning, fraud detection and document AI for lenders, fintechs and regional banks.
Clinical documentation, claims processing and patient analytics built to HIPAA standards.
Demand forecasting, personalisation and pricing for D2C brands and retailers.
Commercials
Two weeks, fixed fee. A ranked use-case backlog, a data readiness view and a scoped pilot.
Four to six weeks, fixed fee. A working system with real users and one agreed metric.
Monthly retainer. A senior squad that keeps shipping, or managed operations under SLAs.
FAQ
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.
Contact
Pick a time for a discovery call in your hours. You will speak with a founder, not a sales team.
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