$10,000+
$30 - $49 / hr
50 - 99
SMBs
India, Mohali
2018
Within 1 week
Simplifying the Complex

DataToBiz offers various services including AI/ML, Staff Augmentation, digital transformation, BI, & data analysis. We specialize in managed analytics & AI product development, providing smart solutions to help you make prompt decisions and meet your unique business goals and product ideas. We help start-ups, SMBs, and mid-sized, and large-scale firms overcome data challenges, & embrace change to create an impact in the digital landscape.

With a team of AI experts, product developers, & data analysts, we've handled various projects spanning major tech hubs in North America, Europe, the Middle East, APAC, and South Africa, earning consistent recognition as:

~Clutch's leader as “Top artificial intelligence company in India”
~One of the top AI leaders by “Govt of India & MeitY”

Your data's got potential, ping us at [email protected] for personalized AI and analytics enterprise solutions!

What's in it for you?

1. Digital Transformation
One-stop business transformation solution, leveraging AI, BI, and advanced technologies.

2. Managed Analytics
Data storage, cleaning, modeling, and analytics solutions.

3. AI Product Development
One-stop AI/ML product development solutions

4. Business Intelligence
Real-time dashboards, KPI identification, & performance optimization.

5. Data Warehousing
Organizing scattered data in a single data pipeline.

6. Big Data Integration
End-to-end big data consulting solutions.

7. AI Implementation
AI & ML technologies for task automation.


Why Us?

~ Industry Knowledge
Our experts possess vast industry knowledge & AI expertise, offering practical solutions for your business success.

~ Tailored Solutions
Get customized, data-centric, scalable solutions to achieve your evolving business goals over time.

~ On-demand Hiring
Access the right talent from a pool of data professionals and other technology experts exactly when your business needs it.

Unlock data intelligence for your enterprise success, Partner with us!

Simplifying the Complex

Сompany presentation

Techreviewer rating

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4.8

Client review platforms

The company's reputation is reflected through ratings and reviews from different review websites:

4.7
(31 reviews)Clutch
4.4
(12 reviews)Google

AI Overview

Powered bytechreviewer AI
This company performance overview is based on AI analysis of 31 client reviews across 1 review platform. Read more about our methodology.
Last updated: April 2026

Performance snapshot

DataToBiz is a data analytics and AI development firm with a strong concentration in Business Intelligence, Power BI/Tableau dashboards, and AI-powered solutions. Across 31 reviews spanning 2018–2026, the vendor consistently earns high marks for technical expertise, communication, and on-time delivery, with the majority of ratings clustering at 4.5–5.0. A small number of reviews flag below-average schedule and cost sub-ratings, introducing a Minor mixed signal in delivery consistency. Overall, the portfolio reflects a reliable, technically capable mid-market vendor with proven outcomes across diverse industries.

Performance breakdown

Technical expertise
Strong

Multiple anchor reviews cite specific technologies (Power BI, Tableau, LLMs, Python, ETL) and quantified outcomes such as 93% image analytics accuracy, 70–90% credit score prediction accuracy, and a 40–50% reduction in hiring cycle time. No significant negative technical mentions appear across the dataset.

Project management & delivery
Mixed

The majority of reviews confirm on-time or ahead-of-schedule delivery, with structured progress updates and daily or biweekly check-ins. However, two reviews recorded schedule sub-ratings of 3.5 and 3.0, and one noted adherence to 'most' but not all deadlines, introducing a recurring minor concern.

Communication & collaboration
Strong

Across at least 15 reviews, clients consistently praise prompt responsiveness, proactive feedback cycles, and multi-channel communication via virtual meetings, email, and messaging apps. The biopharmaceutical client explicitly noted the team was 'easy to reach,' and the trust fund client confirmed next-business-day response times.

Reliability
Mixed

Most engagements resulted in stable, immediately usable deliverables — one review noted a 'dashboard delivered with zero issues.' However, one insurance technology review recorded a cost sub-rating of 3.0 and schedule sub-rating of 3.0, and the AI chatbot project showed a below-average cost sub-rating of 3.0, indicating occasional inconsistency in value delivery.

Client satisfaction & outcomes
Strong

Tangible business outcomes are documented across multiple engagements: reduced procurement cycle times at Schneider Electric, improved forecasting at a manufacturing firm, shorter turnaround times and significantly higher productivity at an InsurTech client, and a $100,000 sales bid won using a DataToBiz-built web tool. Willingness-to-refer scores are predominantly 4.5–5.0.

Best for

DataToBiz is best suited for mid-market enterprises and growth-stage firms seeking BI dashboard development, AI/ML solutions, and data analytics consulting. The vendor demonstrates particular strength in Power BI and Tableau implementations, LLM-powered chatbot development, and staff augmentation for data engineering teams.

Clients info

DataToBiz serves clients across financial services, energy, manufacturing, real estate, retail, and information technology. Client size ranges from micro-businesses and startups (1–10 employees) to large enterprises with 10,000+ employees. Disclosed project budgets are predominantly under $50,000, with a small number of engagements in the $50,000–$199,999 and $200,000–$999,999 ranges; a significant proportion of budgets are marked confidential. Primary industries represented include Financial services, Energy & natural resources, Manufacturing, Real estate, Retail, Information technology, Business services. Typical client size bands include 1–10 Employees, 11–50 Employees, 51–200 Employees, 201–500 Employees, 1,001–5,000 Employees, 5,001–10,000 Employees, 10,001+ Employees. Common project budget ranges include Less than $10,000, $10,000 to $49,999, $50,000 to $199,999, $200,000 to $999,999.

Review strength

The assessment is based on 31 reviews drawn from a single platform. The review corpus spans from May 2019 to February 2026, providing strong recency, with the majority of reviews published between 2023 and 2026. Two reviews dated 2018 and 2019 are more than five years old and carry reduced weight in trend analysis. Review date range: Dec 26, 2018 - Feb 2, 2026.

Performance breakdown

Technical expertise
Strong

Multiple anchor reviews cite specific technologies (Power BI, Tableau, LLMs, Python, ETL) and quantified outcomes such as 93% image analytics accuracy, 70–90% credit score prediction accuracy, and a 40–50% reduction in hiring cycle time. No significant negative technical mentions appear across the dataset.

Project management & delivery
Mixed

The majority of reviews confirm on-time or ahead-of-schedule delivery, with structured progress updates and daily or biweekly check-ins. However, two reviews recorded schedule sub-ratings of 3.5 and 3.0, and one noted adherence to 'most' but not all deadlines, introducing a recurring minor concern.

Communication & collaboration
Strong

Across at least 15 reviews, clients consistently praise prompt responsiveness, proactive feedback cycles, and multi-channel communication via virtual meetings, email, and messaging apps. The biopharmaceutical client explicitly noted the team was 'easy to reach,' and the trust fund client confirmed next-business-day response times.

Reliability
Mixed

Most engagements resulted in stable, immediately usable deliverables — one review noted a 'dashboard delivered with zero issues.' However, one insurance technology review recorded a cost sub-rating of 3.0 and schedule sub-rating of 3.0, and the AI chatbot project showed a below-average cost sub-rating of 3.0, indicating occasional inconsistency in value delivery.

Client satisfaction & outcomes
Strong

Tangible business outcomes are documented across multiple engagements: reduced procurement cycle times at Schneider Electric, improved forecasting at a manufacturing firm, shorter turnaround times and significantly higher productivity at an InsurTech client, and a $100,000 sales bid won using a DataToBiz-built web tool. Willingness-to-refer scores are predominantly 4.5–5.0.

Location and contacts

India, Mohali
F-429, Industrial Area, Phase 8B
160059
+7 009 93-5623
United States, New York
99 Wall Street, #1819
10005
+62 825 1137 7

Major clients

Unilever
Tosoh Quartz
ICICI Bank
GetMee
Dentsu
Nordex
Neokred
Arada
Mondelez
FTCSolar