● AI Product Development Studio

We build AI products
that actually ship.

From discovery to a production-grade product — DataToBiz partners with founders and product teams across the world to design, engineer, and scale GenAI, ML, and agentic AI products. 20+ products shipped across 8 countries.

★★★★★ 5.0 on Clutch · 31 verified reviews · Microsoft Gold Partner · AWS & Google Cloud Partner
No sales pitch · 30 min · Confidential NDA available on request
20+AI Products Shipped
8+Countries Served
95%Client Retention
50+AI Engineers
Trusted From
🇺🇸 🇬🇧 🇳🇱 🇩🇪 🇦🇺 🇸🇦 🇿🇦 🇮🇳
Recognised & featured by
The reality of AI in 2026

Most AI projects never make it to production.

Building an AI product is hard. Building one that ships, scales, and actually drives ROI is rare. Here's what we hear from founders and product leaders every week — and what we fix.

⚠️

POCs that never ship

Your data team built something promising — but it's been "almost production-ready" for 9 months.

💸

Burning runway on AI hires

Senior ML engineers are scarce, expensive, and take 6+ months to recruit in the US, UK, or EU.

🧩

Hallucinations & unreliable output

Your LLM works in the demo but fails on edge cases. No guardrails, no evals, no confidence.

🌐

Compliance & data residency

GDPR in the EU, HIPAA in the US, POPIA in South Africa, PDPL in KSA — most vendors don't think about it.

What we build

End-to-end AI product development

Whether you're starting with a napkin sketch or scaling an existing AI feature, our cross-functional team takes ownership from idea to shipped product.

Generative AI Applications

Custom LLM-powered apps, copilots, and content generation systems built on OpenAI, Anthropic, open-source, or hybrid stacks.

  • Chatbots & assistants
  • Content & copy generation
  • Workflow copilots
🧠

RAG & Knowledge Systems

Retrieval-augmented systems that ground LLMs in your private data — accurate, citeable, and enterprise-safe.

  • Vector DB architecture
  • Hybrid search & re-ranking
  • Evaluation pipelines
🤖

AI Agents & Automation

Autonomous and human-in-the-loop agents that execute multi-step workflows across your stack.

  • Tool-use & function calling
  • Multi-agent orchestration
  • Enterprise integrations
📊

Custom ML Models

Forecasting, classification, recommendation, and computer vision models — trained, deployed, monitored.

  • Predictive analytics
  • Computer vision
  • MLOps & monitoring

AI MVP in 6–8 weeks

Fixed-scope sprint to take a validated idea to a working, demoable product — perfect for fundraising or pilot launches.

  • Working prototype
  • User-tested flows
  • Investor-ready demo
🛠️

AI Product Modernization

Already have AI in production? We rebuild for reliability, lower cost, better evals, and clean MLOps.

  • Cost optimization
  • Eval frameworks
  • Guardrails & safety
How we work

A process built to de-risk AI product bets

Outcome-based engagement. Transparent sprints. Clear handover. We work in your timezone overlap and ship every two weeks.

01 — DISCOVERY

Align on outcomes

We map your business goal, users, data, and constraints. You leave with a scoped plan and ROI hypothesis.

Week 1
02 — DESIGN

Architect & prototype

Solution architecture, model selection, UX flows, and a clickable prototype to validate direction before code.

Week 2
03 — BUILD

Ship the MVP

Two-week sprints with demos every Friday. You see progress, give feedback, steer the product as it ships.

Weeks 3–8
04 — SCALE

Launch & evolve

Production deploy, MLOps, evals, guardrails. Hand-over to your team — or stay on as a long-term partner.

Ongoing
Selected work

15+ AI products. 8 countries. One team.

A snapshot of products we've co-built with founders, enterprise teams, and scale-ups around the world.

🇺🇸 USA 1 🇬🇧 UK 2 🇳🇱 Netherlands 1 🇩🇪 Germany 5 🇦🇺 Australia 1 🇸🇦 Saudi Arabia 2 🇿🇦 South Africa 1 🇮🇳 India 2
🏦 Financial Services & Banking 1 🏢 Technology & Software 5 🛒 Retail & E-commerce 1 🏭 Manufacturing 1 🎓 Education & EdTech 1 📣 Marketing Services 5
💬 NLP 6 📊 Machine Learning 1 🧬 Deep Learning 2 ✨ LLM 9 🧠 RAG 3 🤖 AI Agents 6 📸 Compter Vision 3 ⚙️ ChatGPT API 7
01
🇮🇳 India Financial Services & Banking

Neokred

AI credit scoring platform improving lending decisions and reducing defaults.

NLP · Machine Learning · Deep Learning
02
🇬🇧 UK Technology & Software

Reach X

AI talent intelligence platform enabling candidate search across 6,000+ resumes daily.

LLM · RAG
03
🇦🇺 Australia Technology & Software

Getmee

AI communication coaching platform providing speech analysis, emotion recognition, and personalized feedback.

NLP · Audio Processing · Deep Learning
04
🇬🇧 UK Technology & Software

GPI

AI healthcare assistant providing instant medicine information across web, mobile, and messaging.

LLM · RAG · ChatGPT API
05
🇸🇦 Saudi Arabia Retail & E-commerce

Millennium

AI-powered healthcare assistant enabling real-time patient support, appointment scheduling, and medication reminders through conversational AI.

LLM · NLP · ChatGPT API
06
🇺🇸 US Technology & Software

Droplet

AI smart parking platform using computer vision for real-time parking detection.

Compter Vision · NLP · Image Processing
07
🇳🇱 Netherlands Technology & Software

Workewhere

AI roleplay training platform enabling workplace simulations with real-time feedback.

AI Agents · RAG · LLM · NLP
08
🇿🇦 South Africa Education & EdTech

Teacher Tech

Multilingual AI evaluation platform automating handwritten answer scoring and personalized feedback.

ChatGPT API · Compter Vision · Image Processing
09
🇸🇦 Saudi Arabia Technology & Software

Ask Salah

AI project intelligence platform delivering 100% visibility, 70% automation, and 60% faster approvals.

ChatGPT API · Claude API · AI Agents · LLM
10
🇩🇪 Germany Marketing Services

SearchAI

AI search intelligence platform enabling multi-LLM orchestration, GEO analytics, and collaboration.

ChatGPT API · AI Agents · LLM · Web Development
11
🇩🇪 Germany Marketing Services

PrepAI

AI-powered media intelligence platform automating brief generation and scalable insight delivery.

ChatGPT API · AI Agents · LLM · Web Development
12
🇩🇪 Germany Marketing Services

AllocateAI

AI media allocation platform automating campaign planning, benchmark analysis, and budget optimization.

ChatGPT API · AI Agents · LLM · Web Development
13
🇩🇪 Germany Marketing Services

PersonaAI

AI persona intelligence platform enabling multi-model simulations, automated personas, and insights.

ChatGPT API · AI Agents · LLM · Web Development
14
🇩🇪 Germany Marketing Services

Total Video Integrator

AI-powered media planning platform optimizing cross-channel reach, budgeting, and performance.

ChatGPT API · AI Agents · LLM · Web Development
15
🇮🇳 India Manufacturing

Asahi Denso

AI-powered rider behavior analytics platform enabling video-based emotion detection and insights.

Compter Vision · Image Processing · NLP
No products match that filter yet — try a different one or ask us about a custom build.
Ready to ship?

Like what you see? Let's build yours next.

Tell us about your idea — get a free 30-min strategy session with a senior AI architect, plus a fixed-scope quote in the same call.

Book a free strategy call
30 min · No sales pitch · Confidential
Why DataToBiz

Built to be the unfair advantage for global product teams

  • 🌍

    Time-zone overlap that actually works

    We structure dedicated overlap hours with your team — whether you're in PST, GMT, CET, AEST, SAST, or AST.

  • 🛡️

    Compliance-first by default

    GDPR, HIPAA, SOC 2 controls, EU data residency, KSA PDPL, South Africa POPIA — we operate inside your regulatory frame, not around it.

  • 🔐

    Your IP, fully protected

    Watertight NDAs, dedicated teams, secure dev environments. Your code and models are yours, full stop.

  • 🎯

    Senior engineers, no juniors hidden behind PMs

    You work directly with the people writing the code. Average team experience: 7+ years.

  • 💰

    1/3 the cost of a US or EU agency

    Same calibre engineers, same product quality — without the bay-area or London bill rate.

  • 📈

    Outcome-led, not hours-led

    Fixed-scope MVPs and milestone-based engagements. You pay for shipped product, not timesheets.

$40M+
in client funding raised on top of products we've built
6–8 wks
Avg MVP timeline
95%
Client retention
8+
Countries served
20+
AI products live
Honest comparison

How DataToBiz stacks up

If you're evaluating options for your AI build — here's how the real choices compare.

  DataToBiz In-house hire US / EU agency Freelancers
Time to first ship 6–8 weeks 6–9 months~ 3–5 months Unpredictable
Cost for MVP $20k–$30k fixed $180k+/yr loaded $100k–$250k~ $10k–$45k, variable
Senior AI engineers 7+ yrs avg, 50+ on team~ If you can hire them Yes~ Quality varies
Production-grade MLOps Built-in~ Build it yourself Yes Rare
Compliance & data residency GDPR, HIPAA, PDPL, POPIA Yours to own Yes On you
IP ownership 100% yours 100% yours 100% yours~ Read the contract
Risk of project stall Low — fixed scope High — hiring risk~ Medium High

Honest take — if you have a $250k+ budget and need a brand-name on the invoice, a EU/US agency may be better. For everyone else, we'll out-ship them.

Decision time

Convinced? Let's scope your build.

30 minutes, one call, a fixed-scope quote — no enterprise sales theatre.

Get my fixed-scope quote
No prep needed · NDA available on request
Engagement models

Four ways we work together

Different problems need different shapes of partnership. Pick the one that fits — or let's design a hybrid together.

Fixed-Price MVP

Best for first-time AI builds

Scoped, fixed-budget AI MVP in 6–8 weeks. Working product, evals, demo-ready.

Duration6–8 weeks
Starts at$20k
Team size3–5 engineers
BillingMilestone-based
Book scoping call →
👥

Staff Augmentation

Best for scaling internal teams

Slot senior AI engineers, ML ops, and data scientists directly into your team and stack.

Duration3 months+
Starts at$2.5k / engineer / mo
Team size1–20 engineers
BillingMonthly
Book scoping call →
🎯

AI Advisory & Audit

Best for strategy & rescue work

Senior AI architects review your codebase, evals, and roadmap. Walk away with a clear plan.

Duration2–4 weeks
Starts at$4k
Team size1–2 architects
BillingFixed fee
Book scoping call →
The humans behind the code

Meet the team you'll actually work with

No sales theatre, no juniors hidden behind project managers. The same senior engineers and architects you meet on the discovery call will write the code that ships your product.

Ankush

Ankush Sharma

CEO & Co-Founder

PS

Parindsheel Singh Dhillon

COO & Co-Founder

Manoj

Manoj Yadav

Project Manager

Nandeesh Reddy

Tech Lead - BI

Anshul

Anshul Grover

Sr. Azure & BI Consultant

ashu profile

Ashu Brar

Sr. Power BI Developer

Avdeep Singh

Deep Learning Engineer

Mohit

Mohit Monga

Jr. Deep Learning Engineer

Gnanachaithanya

Jr. Deep Learning Engineer

Akshdeep

Akshdeep Singh

Sr. Deep Learning Engineer

Nageshwar

Nageshwar Reddy

Power BI Developer

Skip the gatekeeping

Want to meet them? Talk to the team.

Founders or a Principal AI Architect on your first call — never a sales rep.

Talk to the team
30 min · No prep · Confidential
Third-party validated

Recognised by the people who check the work

🏆

Microsoft Gold Partner

Certified Solutions Partner
☁️

AWS Partner

Cloud & AI Services
🔷

Google Cloud Partner

Data & AI Specialisation
C

Top AI Company India

Clutch · 31 reviews
★★★★★ 5.0
🇮🇳

Recognised by MeitY

Government of India
A

PeMa Quadrant 2024

AIM Research · "Challenger"
🛡️

ISO & SOC 2 Aligned

Enterprise-ready controls
Tech we love

Modern AI stack, opinionated choices

🧠

LLM & Foundation Models

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiLlama 3MistralCohere
🤖

Agentic Frameworks

LangChainLangGraphLlamaIndexCrewAIAutoGenSemantic Kernel
🗂️

RAG & Vector DBs

PineconeWeaviatepgvectorChromaQdrantMilvus
📊

ML & Data Science

PyTorchTensorFlowHugging Facescikit-learnXGBoostOpenCV
☁️

Cloud & Deployment

AWS BedrockAzure OpenAIVertex AIDockerKubernetesTerraform
📈

MLOps, Evals & Monitoring

MLflowWeights & BiasesLangSmithHeliconeGrafanaRagas
"DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing. Their commitment separates them from the rest of the competitors in their field."
[GetMee]Founder & CEO
Common questions

What international teams ask us

How do you handle time-zone differences with US, UK, Australian, or SA teams?
We commit to a minimum 4-hour daily overlap with your team. For US clients, our team starts late afternoon IST so we overlap with PST/EST mornings. For UK/EU clients, our overlap is most of your workday. All sprint demos, standups, and reviews happen in your timezone.
How do you protect our intellectual property and data?
We sign mutual NDAs before discovery. Every engagement runs on isolated infrastructure with role-based access. Source code, training data, and trained models are owned by you. We're GDPR-ready, can sign DPAs for EU clients, BAAs for US healthcare clients, and follow KSA PDPL and South Africa POPIA.
What does an engagement actually cost?
Most AI MVPs land in the $20k–$30k USD range for a 6–8 week sprint. Dedicated pods start at $10k/mo. Staff augmentation starts at $2.5k/engineer/mo. AI advisory engagements start at $4k. You'll get a fixed-scope quote inside your first discovery call.
What if our internal team needs to take over the product later?
That's the default outcome. Every engagement includes documentation, eval suites, runbooks, and a structured handover. Many clients keep us on as a fractional AI partner after handover — but it's never a requirement.
Can you start in two weeks? We're behind on a roadmap commitment.
Yes — for most engagements we can kick off discovery within 7–10 business days of contract signature, and most fixed-scope MVPs start build in week 2. Book a call and we'll confirm capacity for your start date.
Which engagement model is right for us?
If you're validating a new AI idea → Fixed-Price MVP. If you're building a long-term AI product → Dedicated AI Pod. If you're scaling an existing in-house team → Staff Augmentation. If you have something live and need an expert read → AI Advisory & Audit.
Step 1 · Discovery call

Let's build your AI product.

Book a 30-minute discovery call. We'll map your idea, pressure-test the AI angle, and tell you honestly whether we can help — or who can.

  • 1
    5 min — Your problem, users, and current state
  • 2
    10 min — We pressure-test the AI angle & flag risks
  • 3
    10 min — Architecture sketch & engagement options
  • 4
    5 min — Ballpark timeline, cost & next steps
AS
PS
+
Led by our founders or a Principal AI Architect — never a sales rep.
Discovery call

Tell us about your project

30 min · No prep needed · Confidential

Thanks — we'll be in touch within 24 hours.

Or email us directly at [email protected]

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