Your Partner for
AI-First Data, Generative AI & Cloud Engineering
Engineering data. Building AI. Scaling cloud. We get your data into one trusted place, put AI to work on it safely, and keep everything running reliably, then hand it over so your team can run it.
AI, Data & Cloud Solutions
Generative AI and agents on top, trusted data in the middle, reliable cloud underneath. Pick a solution to see what we deliver.
Generative AI & LLM apps
Custom AI applications built on your own data.
Learn more →AI knowledge assistants
Answers from your documents, with sources shown.
Learn more →AI agents & automation
Automate repetitive knowledge work, with people in the loop.
Learn more →MLOps & model evaluation
From experiment to a monitored service you can rely on.
Learn more →Data engineering
One trusted, up-to-date home for all your data.
Learn more →Cloud & DevOps
Secure, automated, observable and cost-controlled.
Learn more →Predictive analytics & BI
One agreed number, and forecasts you can act on.
Learn more →Responsible AI & governance
AI your business can trust and explain.
Learn more →Technologies we work with
We choose tools around your problem, not the other way around. These are the ones we reach for most.
Why Dataligators
Most data and AI projects stall between the demo and the hand-off. We are built for exactly that stretch.
Senior engineers, end to end
The people who scope your system are the people who build it. No handoff to a junior bench.
One partner for data, AI and cloud
No seams between a data team, an AI team and an infrastructure team, because it is one team.
Safe, measurable AI
Permissions, guardrails and accuracy testing are built in, so AI works in daily operations, not just in a demo.
Reliable from week one
Testing, monitoring, automation and documentation start on day one, not just before launch.
Technology chosen for your problem
We are not tied to any vendor. We pick tools that fit your constraints, people and budget.
Designed for handover
Your code, your cloud accounts, your system. Success means your team runs it without us.
How the pieces fit together
Every platform we build has the same shape. The technology inside each step changes with your situation.
From business problem to working AI system
Four stages with a checkpoint at the end of each. You see working software every week and can stop after any stage with something useful in hand.
Diagnostic
We learn your goals, where your data lives, your constraints and how you will measure success.
Architecture
We design the target system, choose the technology and agree who will run it and how.
Build
The most important path first, with weekly demos. Testing, automation and monitoring from week one.
Handover
Documentation, training for your team and a roadmap for what comes next.
Ways to work with us
Architecture Sprint
A focused diagnosis and target design for one problem. You leave with a design, a plan and an estimate, whether or not we build it.
Platform Build
Fixed-scope delivery in phases with a checkpoint at the end of each. Design, build and handover for a platform or AI product.
Embedded Team
Senior engineers working inside your team: extra capacity, mentoring and ownership of a roadmap you set.
Cloud & DevOps that keeps AI running
AI is only as good as the platform under it. We design the foundation, automate how things are built and released, and watch it so problems are found before customers notice.
Cloud foundations
Secure, documented setups on AWS, Google Cloud or Azure, written as Terraform code so your team can rebuild them in minutes.
CI/CD and automated releases
Automated testing and release pipelines, so changes ship safely and often instead of in slow, risky batches.
Containers and Kubernetes
Docker and Kubernetes so models, APIs and pipelines scale up and down with demand.
Observability and cost control
Monitoring and alerts for health, performance and spend in one place, with a clear picture of what drives your cloud bill.
Technology with purpose
Dataligators is a Data, AI and Cloud engineering studio. We get your data into one trusted place, put AI to work on it safely, and keep everything running reliably in the cloud, then hand it over so your own team can run it.
It has been a pleasure to work with a highly professional team at Dataligators. They show enormous skill and vast domain knowledge.
Vikas Kumar Singh, Director, We Work Media Ventures- Delivering excellence
- Building trust
- Being bold and solid
- Openness and diversity in how we work with customers
Frequently asked questions
What does AI-first mean for you?
We start from the business problem and the data behind it, then use LLMs, retrieval and automation where they genuinely help, with testing and guardrails so it works in daily use and not only in a demo.
What is RAG?
Retrieval-augmented generation makes an AI assistant answer only from your own documents and show its sources, so people get accurate answers they can verify.
Will our data stay safe?
Permissions are respected so people only see what they are allowed to see, and systems are built in your own cloud accounts and code repositories. Exact controls are agreed project by project.
Which AI models and tools do you use?
We choose per problem. Typical building blocks are models such as Claude and OpenAI, with LangChain, LlamaIndex, pgvector or Pinecone, and MLflow for tracking and deployment.
How long does a project take?
An architecture sprint runs 2-3 weeks. A full platform or AI product build is typically 8-16 weeks, delivered in phases. Embedded teams work on a monthly basis.
How do we get started?
Send a short note about your challenge through the form below or email info@dataligators.com. We reply by email and suggest a first conversation.
Do you also help with hiring?
Yes. Our recruitment services cover temporary, contract and permanent roles. Write to recruitment@dataligators.com.
Recruitment services
We connect skilled talent with employers for temporary, contract and permanent roles, and help job seekers find roles that match their experience.
Follow our LinkedIn page for updates
- Manpower for temporary, permanent and contract needs
- Domain-specific talent mapping
- Specialized and strategic sourcing
- Employee induction design
- Training needs assessment and calendar
- HR policies and manuals
Let's work together
Tell us about your data, AI or cloud challenge and we will reply by email.