01
GenAI & Agentic Systems
Copilots, retrieval systems and autonomous agents wired into your real tools and data. Evaluated, guard-railed and monitored like any other critical system.
AI-native consulting
We turn into operating advantage.
Sunday Labs is a boutique AI consulting firm in India for AI and data transformation, working with clients worldwide. We design the strategy, build the data foundations and ship production AI, alongside your team, in weeks rather than quarters.
Data readiness0%
Use cases ranked0
Time to pilot--
Trusted by
Fast-growing teams across fintech, logistics, healthcare and commerce build with Sunday Labs.
- PorterLogistics
- BharatPeFintech
- TeamLeaseStaffing
- AXISMUTUAL FUNDAsset management
- Consumer tech
- DELHIVERYLogistics
- Apollo24|7Healthcare
- indifiLending
- GradRightEdtech
- SINARMASConglomerate
- AwanTunaiFintech
- pepperfryE-commerce
- GroMoFintech
- KhelGroupGaming
- + many moreBecome the next →
Built on
AnthropicOpenAIGoogle CloudAWSMicrosoft AzureDatabricksSnowflakedbtLangGraphKubernetesTerraformHugging Face
Why we exist
Most AI programmes stall between the pilot and the P&L. Not because the models are weak, but because the data is scattered, the workflows are unchanged and nobody owns the outcome. We fix all three, and we stay until it works.
What we do
Everything between ambition and production.
Six practices, one team. Pick a single engagement or let us run the full transformation end to end.
AI Strategy & Roadmaps
We find where AI moves your numbers, size the value, and sequence a roadmap your board and your engineers can both believe in.
Data Platforms & Engineering
Modern lakehouses, clean pipelines and governed semantic layers. The unglamorous foundation that makes every model downstream actually useful.
Analytics & Decision Intelligence
Forecasting, pricing, churn and demand models, plus dashboards people genuinely open. Answers delivered where decisions get made.
MLOps & AI Engineering
CI/CD for models, feature stores, observability and cost controls, so AI stays reliable, auditable and affordable after launch day.
06
Digital Transformation & AI Governance
Process redesign, change management and responsible-AI frameworks aligned with the EU AI Act, DPDP Act and your internal risk appetite. We make sure the new tools actually change how work gets done.
Technology we work with
Fluent in the modern AI and cloud stack.
We are platform agnostic. We pick the right model, cloud and tooling for your problem, and work inside the stack you already run.
- AAWS
- MMicrosoft Azure
Google Cloud
Cloudflare
DigitalOcean
Vercel- OOpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
DeepSeek
Hugging Face
NVIDIA
Ollama
Replicate
LangChain
LangGraph- LLlamaIndex
- PPinecone
Qdrant
Weights & Biases
MLflow
PyTorch
TensorFlow
scikit-learn
n8n
Streamlit
Databricks
Snowflake
BigQuery
Apache Spark
Apache Kafka
Apache Airflow- ddbt
PostgreSQL
MongoDB
Redis
Elasticsearch
Terraform
Kubernetes
Docker
Helm
GitHub Actions
Argo CD
GitLab
Jenkins
Ansible
Vault
Datadog
Grafana
Prometheus
OpenTelemetry
PagerDuty
Sentry- PPlaywright
Cypress
Selenium
Postman
SonarQube
Product names and logos are trademarks of their respective owners and are shown to indicate technologies we work with. Their use does not imply partnership or endorsement.
How we work
From first call to first model in production.
A tight, repeatable loop. Every phase ends with something you can use, not just something you can read.
01
Discover
Weeks 1 to 2Stakeholder interviews, data audit and a ranked backlog of AI use cases scored on value, feasibility and risk.
02
Design
Weeks 2 to 3Target architecture, success metrics and an evaluation plan agreed before a single line of production code.
03
Build
Weeks 3 to 8Small senior squads ship in weekly increments with your team embedded, so knowledge transfers as we go.
04
Scale
OngoingHardening, monitoring and rollout across teams, then a clean hand-off or a lean run-and-improve retainer.
Engagement at a glance
A typical 8-week programme
Week 1
W1W2W3W4W5W6W7W8W9+
Discover
Design
Build
Scale
Milestones
- Ranked use-case backlogValue, feasibility and risk for each idea
- Architecture sign-offTarget stack, metrics and eval plan
- Pilot live in productionReal users, real data, measured impact
- Rollout and hand-off planRunbooks, training and ownership
2 to 4senior people per squad
Weeklydemos, never monthly decks
1 metricagreed upfront, tracked to the end
6 wksTypical time from kickoff to a production pilot
100%Of code, models and IP owned by you
1 teamStrategy, data and engineering under one roof
0Vendor lock-in. We are platform agnostic by design
Where we play
Deep in the industries where data is the product.
Financial Services
Credit risk, fraud detection, KYC automation and AI-assisted operations.
Retail & D2C
Demand forecasting, personalisation, pricing and catalogue intelligence.
Healthcare & Life Sciences
Clinical documentation, claims processing and patient-journey analytics.
Manufacturing & Supply Chain
Predictive maintenance, quality inspection and inventory optimisation.
SaaS & Technology
AI features inside your product, usage analytics and support automation.
HR & Talent
Screening, matching, workforce planning and people analytics at scale.
Engagement blueprints
What a Sunday Labs engagement looks like.
Three of the patterns we are asked for most, with the outcome each one is built to hit.
Agentic back office
Agents that read, classify and act on invoices, tickets and emails, with humans approving only the exceptions.
60%+target reduction in manual handling
Single source of truth
Consolidating a sprawl of spreadsheets and databases into one governed lakehouse with metrics everyone trusts.
1semantic layer powering every dashboard and model
Enterprise copilot
A secure assistant grounded in your policies, contracts and wikis, with citations, access control and evals.
Minutesinstead of hours to find the right answer
Outcomes shown are engagement targets, not guarantees. Actual results depend on your data, scope and adoption.
How we think
Built by operators, not just advisors.
We ship our own AI product every week. That changes how we consult.
01
Value before models
Every engagement starts with a metric that matters to the business. If we cannot measure it, we do not build it.
02
Data is the moat
Models are becoming a commodity. Your proprietary data, cleaned and connected, is what compounds.
03
Evaluate everything
We treat prompts and models like code: versioned, tested and measured against real-world evals.
04
Leave you stronger
We pair with your people, document everything and aim to make ourselves unnecessary.
From the blog
Practical writing on AI in production.
Guides from the engineers who do the work, on costs, choices and what it takes to get AI live.
AI Implementation Cost in India: Drivers, Ranges and Budgeting
A practical guide to AI implementation cost: the real cost drivers, indicative ranges by project type, the running costs people forget and how to budget sensibly.
AI Consulting Services in India: How to Choose the Right Partner
What AI consulting services in India should actually deliver, how to evaluate firms, the questions to ask and the red flags to watch for before you sign.
RAG vs Fine Tuning: How to Choose for Enterprise GenAI
RAG gives a model the right knowledge; fine-tuning changes how it behaves. A clear comparison and decision guide for choosing between them, or using both.
FAQ
Questions we hear a lot.
Who actually works on my project?
A small senior squad, personally overseen by our founder. The lead engineer and architect always comes from companies like Amazon, Google, Microsoft, Uber or Meta, and the people you meet during scoping are the ones who build and ship. Meet the team behind the work.
What does a typical engagement look like?
Most clients start with a two-week discovery sprint that produces a ranked use-case backlog and an architecture plan. From there we usually build a production pilot in four to six weeks, then scale it across the business.
Do you work with our existing cloud and tools?
Yes. We are platform agnostic and work across AWS, Azure and Google Cloud, with warehouses like Snowflake, Databricks and BigQuery, and with both commercial and open-weight models.
How do you handle data security and privacy?
We work inside your environment wherever possible, follow least-privilege access, sign NDAs and data processing agreements as standard, and design for compliance with applicable law including India's DPDP Act and GDPR.
Who owns what we build?
You do. Unless we agree otherwise in writing, all code, models, prompts and documentation created for you during the engagement belong to you once invoices are settled.
How do you price?
Fixed-fee sprints for discovery and pilots, and monthly retainers for ongoing build and run. We will always give you a clear scope and number before any work begins.
Ready to make AI pay off?
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.
Contact
Let's build something that ships.
Pick a time for a discovery call. You will speak with a founder, not a sales team.
- Sales
- sales@sundaylabs.io
- Support
- support@sundaylabs.io
- Office
- Headquarters: Gurugram, India
Global presence
Headquartered in India. Working worldwide.
Teams and clients across seven regions, with overlapping hours so work moves forward around the clock.
IndiaUSUKMENAIndonesiaSingaporeAustralia
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