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Write a ReviewPredictive analytics that gave us an edge we had never had before
Arjun Kapoor / Head of Product - Skyline Retail Ventures
Verified
May 20, 2025
May 20, 2025
Project summary: Document review and contract lifecycle management were consuming a disproportionate amount of fee-earner time that should have been spent on higher-value advisory work.
The thing I appreciate most in retrospect is that they were honest when something was harder than expected. Twice during the project the team came to us proactively to say that a particular component needed more time to do properly and explained why cutting corners would create problems later. We gave them the time. Both decisions were correct. The resulting product is solid and we have had none of the post-launch instability that plagued our last two technology projects.
PROS
Engineering quality that our internal team can maintain without calling the vendor, thorough documentation, proactive risk identification throughout the project
CONS
Honestly nothing worth documenting — we went in with high expectations and they were met on every measure
Project TypeAI & Machine Learning
IndustryLegal Services
Project CostLess than $10,000
DurationFeb 2025 – Sep 2025
Questions & Answers
Please describe your company, your role, and the industry you operate in.
As Head of Product at Skyline Retail Ventures, I manage a cross-functional technology team serving our Legal Services clients from Mumbai, 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?
Our Legal Services 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?
Honestly, the quality of the questions they asked during the briefing process set them apart. Most vendors listen to the brief and come back with a solution to exactly what you described. This team came back with a solution to what we actually needed, which turned out to be somewhat different. That kind of consultative instinct is what we were looking for.
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 Legal Services 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?
The project management was the best I have experienced in a vendor relationship. We had fortnightly sprint reviews with structured agendas, a shared backlog that we could inspect at any point, a risk register that was actively maintained rather than created at kickoff and never opened again, and a project manager who treated our time as something worth protecting. Communication was proactive, not reactive.
Did the company deliver the project on time and within your expected budget?
On time and within the agreed budget. They had given us a range estimate at the start, which I had been sceptical of, and they landed within the lower half of that range. Their estimation accuracy came from having broken the work down in genuine detail during discovery rather than giving a rough number and hoping. It showed in every sprint.
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 Legal Services 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 continuity of the team. The engineers who scoped the work were the engineers who built it. That sounds like it should be standard practice but in my experience it often is not. The institutional knowledge that comes from that continuity pays dividends at every stage, particularly when you are dealing with a complex Legal Services domain where context takes time to build.
Would you recommend this company to others, and would you work with them again?
Absolutely. I would recommend them with a specific note that the quality of the discovery process is where the value starts. Clients who invest properly in that phase will get the most out of the engagement. We made that investment and the returns are evident in the quality of what was delivered.
Data engineering work that turned years of unstructured records into actionable insight
Jisoo Kwon / CTO - HanRiver Tech Co Ltd
Verified
Oct 18, 2022
Oct 18, 2022
Project summary: Streaming demand had grown beyond what our monolithic video delivery infrastructure could handle and we needed a cloud-native rebuild before the next content release cycle.
Project governance was one of the things that impressed me most. We had a dedicated project manager who ran tight fortnightly sprints with clear acceptance criteria, a shared backlog that gave us full visibility at all times, and a change request process that was fair and transparent. Nothing slipped through the cracks, no bill shock at the end, and the final delivery matched the original scope document almost perfectly. In my experience that kind of discipline is genuinely uncommon.
PROS
Technical depth across the full stack, honest and timely communication, delivered exactly what was scoped without surprise additions to the invoice
CONS
Their calendar books up quickly which made scheduling the initial kickoff slightly challenging — a good problem for them to have and not one that affected our delivery
Project TypeData & Analytics
IndustryMedia & Entertainment
Project Cost$500,000+
DurationDec 2024 – Feb 2026
Questions & Answers
Please describe your company, your role, and the industry you operate in.
As CTO at HanRiver Tech Co Ltd, I manage a cross-functional technology team serving our Media & Entertainment clients from Seoul, South Korea. 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?
The immediate trigger was a performance failure during our peak trading period that cost us measurably in both revenue and client trust. The root cause was architectural and our internal team did not have the Data & Analytics expertise to address it properly. We needed specialists.
What services did the company provide for your project?
Primarily Data & Analytics, 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?
Their portfolio included two projects that were sufficiently close to our own brief in terms of complexity, Data & Analytics scope, and Media & Entertainment context that we felt confident they understood what we were asking. The proposal was technically rigorous, the pricing was transparent, and the proposed team structure gave us senior engineers throughout rather than just for the pitch.
How clearly did the company understand your requirements and business goals?
Extremely well. They asked detailed questions, challenged vague requirements until they were specific, and proposed sensible defaults for decisions we had not yet made rather than just leaving them open. By the time development started there was no ambiguity in the backlog, which is a rare starting position.
How was your overall experience with their communication and project management?
Professional and efficient. We used a shared project management tool that gave our stakeholders visibility without requiring them to attend every meeting. The project manager had a clear escalation path and used it appropriately. The only time I needed to intervene directly was when I chose to, not because something had been missed.
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?
Hard to isolate precisely because several factors changed simultaneously, but the data we can attribute directly to the new Data & Analytics platform shows a meaningful improvement in the metrics that matter to our Media & Entertainment 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?
Their ability to hold the business objective in mind alongside the technical task. I have worked with technically excellent agencies who lost the thread of what we were actually trying to achieve. This team never did. Every architectural decision, every trade-off conversation, every prioritisation discussion was anchored to the outcome we had agreed at the start.
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 Media & Entertainment sector who were facing similar Data & Analytics 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.
Company Info
Founded
2014
Employees
2 - 9
Hourly Rate
$100 - $149
Avg. Project Cost
$50,000+
Client Rating
5.0/5 (2 reviews)