About

Their team has given services to a huge spectrum of clients extending from startups to Fortune companies. They have a core competency in mobile app development and has successfully assisted their clients with the best of kind solutions, apps, and enterprise mobility services. They able to leverage onsite-offshore development model to profit clients with leading quality solutions given at best price.

Last updated May 13, 2026

Services

Mobile App Development Custom Software Development IT Consulting

Client Rating

5.0/5.0
2 reviews
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
5.0
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Client Reviews

5.0/5.0 (2 reviews)
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
5.0

Data pipelines became far more reliable after go-live

Yusuf Rahman / Head of Transformation - CroftBank MEA
Verified
May 15, 2026

Project summary: Our project involved replacing legacy workflows with a modern platform while keeping business continuity intact. We prioritized maintainability, adoption, and measurable impact.

Communication quality was one of the stronger parts of this engagement. We always had visibility into progress, blockers, and next steps. Their engineers challenged assumptions respectfully and prevented a couple of costly feature detours. There were minor delays during final data migration, but they staffed up and recovered most of the schedule quickly.

PROS

Strong integration work with third-party systems and proactive monitoring setup

CONS

Some change requests required formal reprioritization, which was correct but slowed quick tweaks

5.0
Overall
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
Project Type Data & Analytics
Industry Food & Beverage
Project Cost $10,000 to $49,999
Duration Jul 2025 – Nov 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
We are a mid-sized business in the Food & Beverage space, and I lead this function as Head of Transformation. I was responsible for evaluating vendors, aligning stakeholders, and ensuring the project delivered measurable operational gains.
What specific problem or business challenge led you to hire this company?
Our main challenge was that existing Food & Beverage workflows were fragmented and hard to scale. We needed Data & Analytics support to reduce manual effort, improve reliability, and give teams clearer visibility into day-to-day operations.
What services did the company provide for your project?
They handled discovery, technical planning, implementation, QA, deployment, and post-launch stabilization for Data & Analytics. Scope was phased sensibly, and they were clear about what should ship now versus move to a later release.
Why did you choose this company over other providers you considered?
We shortlisted a few firms, but this team stood out for their Data & Analytics experience and the way they discussed Food & Beverage constraints in practical terms. They were transparent about risks and did not overpromise on timelines.
How clearly did the company understand your requirements and business goals?
They understood our requirements well after a structured discovery phase. There were a couple of assumptions we corrected early, but once aligned, execution stayed consistent and traceable against agreed priorities.
How was your overall experience with their communication and project management?
Project management was strong: weekly checkpoints, a shared board, and clear ownership on action items. Response times were generally quick, and when blockers appeared, they surfaced them early with concrete mitigation steps.
Did the company deliver the project on time and within your expected budget?
Most milestones were delivered on time and within the approved budget. We had minor date movement on one integration-heavy stream, but it was communicated in advance and handled without major downstream impact.
What tangible results or business impact have you seen since the project was completed?
Yes. After go-live, we saw better process turnaround times, fewer support escalations, and stronger reporting accuracy. The platform is now a practical part of our daily operations rather than a side tool.
What did you like most about working with this company?
Two things stood out: they were candid about tradeoffs, and they stayed accountable through launch. We also liked that their engineers translated technical decisions into business implications our leadership team could evaluate.
Would you recommend this company to others, and would you work with them again?
Yes, especially for teams needing a dependable Data & Analytics partner in Food & Beverage. They are not the cheapest vendor, but they are organized, transparent, and focused on outcomes that hold up in production.

Practical AI implementation with measurable workflow impact

Liam Foster / Managing Partner - NorthStar Realty Group
Verified
May 15, 2026

Project summary: This initiative had cross-functional stakeholders and evolving requirements. We looked for a team that could translate business constraints into workable technical decisions.

Good execution with realistic expectations. They did not overpromise, and that made planning much easier on our side. We had one integration issue with a third-party API rate limit that impacted timelines briefly, but they implemented retry handling and monitoring quickly. End result: reliable delivery and a solid foundation for phase two.

PROS

Ability to translate business goals into usable product decisions, not just technical output

CONS

Timezone overlap was limited on some days, so urgent clarifications occasionally slipped by 24 hours

5.0
Overall
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Communication
Project Type AI & Machine Learning
Industry Logistics & Supply Chain
Project Cost $500,000+
Duration May 2025 – Oct 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
We are a mid-sized business in the Logistics & Supply Chain space, and I lead this function as Managing Partner. I was responsible for evaluating vendors, aligning stakeholders, and ensuring the project delivered measurable operational gains.
What specific problem or business challenge led you to hire this company?
Our main challenge was that existing Logistics & Supply Chain workflows were fragmented and hard to scale. We needed AI & Machine Learning support to reduce manual effort, improve reliability, and give teams clearer visibility into day-to-day operations.
What services did the company provide for your project?
They handled discovery, technical planning, implementation, QA, deployment, and post-launch stabilization for AI & Machine Learning. Scope was phased sensibly, and they were clear about what should ship now versus move to a later release.
Why did you choose this company over other providers you considered?
We shortlisted a few firms, but this team stood out for their AI & Machine Learning experience and the way they discussed Logistics & Supply Chain constraints in practical terms. They were transparent about risks and did not overpromise on timelines.
How clearly did the company understand your requirements and business goals?
They understood our requirements well after a structured discovery phase. There were a couple of assumptions we corrected early, but once aligned, execution stayed consistent and traceable against agreed priorities.
How was your overall experience with their communication and project management?
Project management was strong: weekly checkpoints, a shared board, and clear ownership on action items. Response times were generally quick, and when blockers appeared, they surfaced them early with concrete mitigation steps.
Did the company deliver the project on time and within your expected budget?
Most milestones were delivered on time and within the approved budget. We had minor date movement on one integration-heavy stream, but it was communicated in advance and handled without major downstream impact.
What tangible results or business impact have you seen since the project was completed?
Yes. After go-live, we saw better process turnaround times, fewer support escalations, and stronger reporting accuracy. The platform is now a practical part of our daily operations rather than a side tool.
What did you like most about working with this company?
Two things stood out: they were candid about tradeoffs, and they stayed accountable through launch. We also liked that their engineers translated technical decisions into business implications our leadership team could evaluate.
Would you recommend this company to others, and would you work with them again?
Yes, especially for teams needing a dependable AI & Machine Learning partner in Logistics & Supply Chain. They are not the cheapest vendor, but they are organized, transparent, and focused on outcomes that hold up in production.

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