AI consulting for startups and growing businesses
We find where AI belongs in your business, prepare your systems and data, and put it to work with control and confidence.
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Before AI touches your data
Every strategy we write, every architecture we design and every solution we build starts from the same rule: your critical and sensitive business data runs on private or local AI, inside your own cloud or on your own hardware. Contracts, records, finances, customer data. Nothing leaves your environment. Nothing trains anyone else's model. This is not an option we offer; it is the default we design around.
When a task genuinely needs a frontier model, our partnerships with the major AI providers, as a member of the Claude Partner Network, an OpenAI Select Partner, and partners of Microsoft and AWS, let us implement it as a secured solution you fully control and monitor: enterprise agreements with no training on your data, regional hosting, a policy gate in front of every request, and audit logs and dashboards you can see at any time.
Trusted by businesses and products we've built with them
Tap a department. We show the two uses that pay back first, with real use cases and a free ebook for each. Or take the 3-minute AI Readiness Score.
Start with a free conversation. Build only when the problem is clear. Train the team so the gains stick. Or put AI-certified people on your team from next week.
Two free hours on what your business wants to achieve. Then a roadmap with every stakeholder: which AI in which process, how ROI is measured, and implementation with a guaranteed improvement.
Custom AI solutions, or AI added to the products and legacy systems you already run. Scaled, secured and validated, with governance built in.
Role-based training on your own tools and data, so every person ships work 10× faster with AI, not just the early adopters.
AI engineers, forward-deployed AI engineers, AI-powered product managers, automation engineers and AI full-stack developers. AI-development and Claude-certified, 10× productivity guaranteed. Hourly, weekly or monthly.
Already have a pilot? Start at Integrate. Already in production? Start at Govern. The framework is a map, not a queue.
Most businesses don't need their own model. They need AI that can read their documents, policies, ERP and CRM with the right permissions. We build that layer first; model choice follows.
We route simple tasks to economical or private models and reserve frontier models for the work that needs them. Cost becomes a design decision, not a surprise.
200+ projects delivered, fifteen of them AI and in production. Our advice comes from running them. See the full portfolio →
Client names are withheld under NDA. Full case studies available on request.
Claude, GPT, Gemini and open models; AWS and Azure; private deployment where data must not leave your environment. We design so you can change models without rebuilding.
Each one backed by a product we built and run. All industries →
Chosen per task, never one model for everything. All technology →
Start with the workflow and the data sensitivity. Private and open models on your infrastructure by default; frontier models (Claude, GPT, Gemini) through enterprise agreements when the task needs them. RAG before fine-tuning, fine-tuning before training, and every request behind a policy gate.
Short videos from founders and teams we've worked with.
The service was not only affordable but also demonstrated incredible skill. I highly recommend working with IndaPoint.
After interviewing numerous software development companies, I chose IndaPoint due to their impressive initial impression.
I hired IndaPoint Technologies to build my website and resolve some issues. Despite initial concerns about working with a team from India.
Short answers here. Longer ones when we talk.
With the workflow that costs you the most time each week. Not with a model, and not with a chatbot.
No. We use enterprise or private deployments where your data is not used for training, and we put that in the contract.
Almost never. A context layer over your own documents and systems gets most businesses further, faster and cheaper.
Advisory packages are fixed-fee. Build work is scoped after the blueprint, with running costs modelled per task before you commit.
Yes, where the use case justifies it. We'll tell you when it doesn't.
We say so. Sometimes a simpler automation or a process change wins, and the assessment ends there.
Tell us what you're trying to improve. An expert replies within one working day.
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