DIGINOV

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5.0/5 (2 reviews)
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About DIGINOV

DIGINOV.CM is a full-service web and mobile app development Company offering an extensive range of Internet services to businesses and organizations around the world. They commit significant time and attention to continuing professional development. They help you leverage your digital marketing strategy to effectively promote your brand, generate new leads, and drive qualified traffic to your website.

Services

Mobile App Development Web Development UI-UX Design Web Design Social Media Marketing SEO Digital Marketing

DIGINOV Reviews

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From proof-of-concept to production AI in a timeline that impressed our board

Divya Nair / Director of Technology - BrightPath EdTech
Verified
Feb 01, 2024

Project summary: The shift to EVs required us to build a connected vehicle data platform capable of handling telemetry from a growing fleet while supporting over-the-air software updates.

I am a demanding client. I have a technical background, I review code, and I have high standards for documentation and testing. This team met all of those expectations without ever seeming defensive about scrutiny. Peer code reviews were welcomed, unit test coverage was genuine rather than performative, and the API documentation was thorough enough that our own developers integrated against it without a single clarification call. That level of craft is what I look for and rarely find.

PROS

Senior engineers on our account throughout the entire project rather than a bait-and-switch to juniors after contract signing, transparent reporting, realistic estimates that proved accurate

CONS

The volume of quality documentation they produced was genuinely impressive but also meant our team needed dedicated time to review it properly — a minor process point, not a complaint

5.0
Overall
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
Project TypeAI & Machine Learning
IndustryAutomotive
Project Cost$500,000+
DurationOct 2024 – Nov 2024

Questions & Answers

Please describe your company, your role, and the industry you operate in.
As Director of Technology at BrightPath EdTech, I manage a cross-functional technology team serving our Automotive clients from Pune, India. We are a commercially focused organisation and every technology decision we make is evaluated against a clear business case. We needed a partner who understood that context, not just the technical brief.
What specific problem or business challenge led you to hire this company?
Growth into new markets had exposed serious limitations in our platform. What had worked for our original user base in Pune, India was not going to scale internationally, and the AI & Machine Learning requirements for those new markets were meaningfully different. We needed a partner who had solved that kind of problem before.
What services did the company provide for your project?
Primarily AI & Machine Learning, though the scope naturally touched adjacent areas. They handled architecture design, implementation, integration with our existing systems, performance testing under realistic load, and knowledge transfer to our internal team. The breadth of what they covered without requiring us to bring in additional vendors was one of the reasons the project ran efficiently.
Why did you choose this company over other providers you considered?
Price was a factor but not the deciding one. They were mid-range in our evaluation. What tipped it was the combination of their technical depth in AI & Machine Learning, the seniority of the team they proposed to assign to our account, and the clarity of their project governance model. We had been burned by an agency that overpromised before and we needed to see evidence of process maturity.
How clearly did the company understand your requirements and business goals?
Thorough and precise. They translated our business language into technical requirements without losing the intent, which is a skill that sounds straightforward but frequently goes wrong. Every user story they wrote was reviewed against the original business objective before it entered the sprint and the acceptance criteria were specific enough to remove subjectivity from QA.
How was your overall experience with their communication and project management?
Outstanding. I have worked with agencies that communicate beautifully during the sales process and go quiet during delivery. This was the opposite — structured, consistent, and genuinely informative throughout. Problems were surfaced early with proposed solutions rather than just problem statements, which made the inevitable mid-project decisions much easier to make.
Did the company deliver the project on time and within your expected budget?
Yes on both counts. There was one sprint where a third-party integration took longer than scoped because of undocumented API behaviour on the vendor side. The team flagged it immediately, proposed two mitigation options, and we agreed on an approach that recovered the timeline within two weeks. That is how scope issues should be handled and rarely are.
What tangible results or business impact have you seen since the project was completed?
Quantitatively: user engagement metrics are up significantly since launch, our support ticket volume has dropped, and we have received unsolicited positive feedback from clients who noticed the improvement. Qualitatively: our internal team is proud of the product we now have, which affects morale and retention in ways that do not show up on a dashboard but matter enormously.
What did you like most about working with this company?
The post-launch behaviour. Some agencies disappear the moment the final invoice is paid. This team maintained the same level of responsiveness during the hypercare period as during development, handed over thorough documentation without being asked twice, and checked in proactively a month after go-live to review performance metrics with us. That last part was entirely unprompted.
Would you recommend this company to others, and would you work with them again?
Yes, without qualification. I have already made two direct referrals to peers in the Automotive sector who were facing similar AI & Machine Learning challenges. In both cases I gave the recommendation specifically because I was confident the experience would match what I described — which is a level of confidence I do not extend lightly.

The team spoke the language of both data science and business — rare combination

Pooja Venkataraman / VP of Engineering - Navya FinServ Solutions
Verified
May 12, 2022

Project summary: Our existing platform had grown organically over several years and the accumulated technical debt was beginning to affect both performance and our ability to ship new features.

Our previous agency had given us a platform that worked well enough to demo and fell apart under real load. This team came in, diagnosed the root causes accurately, and rebuilt the critical components without disrupting the live service. The performance improvements were immediate and measurable — page load times dropped by 60 percent, error rates dropped to near zero, and our support team has far fewer incidents to deal with. The contrast with our previous experience could not have been sharper.

PROS

Collaborative working style that made them feel like an extension of our team, excellent written communication for our async timezone relationship, clean and readable codebase

CONS

The volume of quality documentation they produced was genuinely impressive but also meant our team needed dedicated time to review it properly — a minor process point, not a complaint

5.0
Overall
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
Project TypeAI & Machine Learning
IndustryMining & Metals
Project Cost$500,000+
DurationMar 2025 – Jan 2026

Questions & Answers

Please describe your company, your role, and the industry you operate in.
I lead technology at Navya FinServ Solutions, a mid-sized organisation in the Mining & Metals sector headquartered in Chennai, India. My remit as VP of Engineering covers everything from infrastructure to product development. We had reached a point where our internal engineering capacity was not sufficient to execute our roadmap without an experienced external partner.
What specific problem or business challenge led you to hire this company?
Our Mining & Metals regulatory environment had changed and the compliance timeline was non-negotiable. We needed to rebuild specific components of our system to meet the new requirements and our internal team was already fully committed to the core product roadmap. Bringing in a specialist AI & Machine Learning partner was the only realistic path.
What services did the company provide for your project?
The core engagement was AI & Machine Learning but expanded to include technical consultancy during the discovery phase, which helped us refine the requirements significantly before development began. They also took responsibility for coordinating with our third-party data providers, which removed a significant coordination burden from our internal team.
Why did you choose this company over other providers you considered?
A direct referral from a peer who had used them for a comparable AI & Machine Learning engagement in the Mining & Metals space. That peer's experience had been excellent and their project profile was similar enough to ours that the recommendation carried real weight. Everything we found during our own evaluation reinforced that this was the right decision.
How clearly did the company understand your requirements and business goals?
The requirements understanding was solid from early on, aided by the fact that they had prior experience in the Mining & Metals sector and did not need us to explain domain context that a less experienced team would have required. That background knowledge shortened the discovery phase meaningfully and reduced the volume of clarification questions during sprints.
How was your overall experience with their communication and project management?
Communication was handled primarily asynchronously given the time zone difference between Chennai, India and the team's base, but it was managed so well that the gap rarely felt like a constraint. Written updates were clear and timely, escalations were handled promptly, and we never had to chase for a status update. The cadence was exactly right — enough to feel informed, not so much that it created overhead.
Did the company deliver the project on time and within your expected budget?
Yes. I will note that the original timeline was aggressive and I had privately expected a slip. They managed to hold it by making smart sequencing decisions early on that I only fully understood in retrospect. The budget discipline was equally good — we received a single change request for scope we had introduced ourselves and it was priced fairly.
What tangible results or business impact have you seen since the project was completed?
Hard to isolate precisely because several factors changed simultaneously, but the data we can attribute directly to the new AI & Machine Learning platform shows a meaningful improvement in the metrics that matter to our Mining & Metals business. Our account managers report that the new capability is coming up positively in client conversations, which was one of the strategic objectives we started with.
What did you like most about working with this company?
The post-launch behaviour. Some agencies disappear the moment the final invoice is paid. This team maintained the same level of responsiveness during the hypercare period as during development, handed over thorough documentation without being asked twice, and checked in proactively a month after go-live to review performance metrics with us. That last part was entirely unprompted.
Would you recommend this company to others, and would you work with them again?
I recommend them to anyone who asks and occasionally to people who do not. The combination of AI & Machine Learning expertise, Mining & Metals domain knowledge, and delivery discipline is genuinely difficult to find. We found it here and we intend to keep it.

Company Info

Founded N/A
Employees N/A
Hourly Rate N/A
Client Rating 5.0/5 (2 reviews)

Rating Breakdown

Quality
5.0
Schedule
5.0
Cost
5.0
Communication
5.0