Horizon Information Technology

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4.5/5 (24 reviews)
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About Horizon Information Technology

Since 1983, Horizon Information Technology has operated as a technology services provider. The company's main offerings are Custom Software Development and IT Consulting. The company operates with a team of 50 - 249 professionals. Typical hourly rates run around $300+ / hr/hr. Clients have rated Horizon Information Technology 5.0 out of 5 in 2 reviews. Horizon Information Technology operates out of Riyadh, Saudi Arabia. Overall, Horizon Information Technology is one of the options worth shortlisting for a technology project.

Where We Specialize

52% AI Development
AI Development 52%
Web Development 27%
Mobile App Development 15%
Branding 6%

Industry Expertise

Logistics100%

Typical Project Size

38% Small Business
32% Enterprise
30% Midmarket Business

Horizon Information Technology Reviews

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AI models that replaced guesswork with evidence in decisions that matter most

Shreya Krishnaswamy / VP of Product - Luminar Tech Pvt Ltd
Verified
Jan 16, 2026

Project summary: First notice of loss processing was taking three days on average. Market benchmarks were under four hours. Automation of the intake and triage workflow was the agreed priority.

We had worked with three agencies before this engagement. The comparison is not flattering to the others. What distinguished this team was a systematic approach to understanding the problem before proposing a solution — something that sounds obvious and is practiced far less often than it should be. The delivery phase ran to schedule, the codebase is clean enough that our internal engineers made positive comments during handover review, and we have not logged a critical incident in five months of live operation. We intend to use them for our next phase of work.

PROS

Senior-level engineering presence throughout the entire project, not just during the pitch, honest and commercially fair handling of scope changes, codebase that our internal team praised on review

CONS

The engagement was priced at the quality level rather than the budget level. We evaluated the alternatives and concluded that the delta was a reasonable premium for the reduction in delivery risk

4.5
Overall
4.5
Quality
4.0
Schedule
4.5
Cost
4.5
Communication
Project TypeAI & Machine Learning
IndustryInsurance
Project Cost$50,000 to $149,999
DurationMay 2025 – Dec 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
As VP of Product at Luminar Tech Pvt Ltd I oversee technology investment and delivery across our Insurance operations in Hyderabad, India. We are a commercially focused business and our technology choices are always evaluated in terms of their direct contribution to business outcomes rather than technical elegance alone.
What specific problem or business challenge led you to hire this company?
A competitive threat had accelerated our roadmap. We had planned a significant AI & Machine Learning investment for the following year. External pressure moved that timeline forward by six months and required us to find an external partner rather than attempting to build internally in the time available.
What services did the company provide for your project?
End-to-end AI & Machine Learning delivery with particular depth in the integration and data migration components, which were the highest-risk elements of the programme. They supplemented this with a dedicated QA resource throughout development and a documented runbook for our operations team at handover.
Why did you choose this company over other providers you considered?
We had a failed engagement behind us and were more rigorous in our selection process as a result. We asked detailed questions about how they managed scope change, how they handled estimation, and how they communicated problems. The answers were specific, evidenced, and consistent across the team members we spoke to. That gave us confidence that the process was real rather than rehearsed.
How clearly did the company understand your requirements and business goals?
Thoroughly and precisely. The requirements document they produced was detailed enough that our QA team used it directly to write acceptance criteria. Every user story had a defined business objective attached. Nothing was left to interpretation. That discipline in the requirements phase paid dividends throughout development and testing.
How was your overall experience with their communication and project management?
Outstanding. The discipline around asynchronous communication was particularly effective given the time zones involved between Hyderabad, India and the delivery team. Written updates were specific and consistent, response times were same-day for anything that required a decision, and nothing fell through the cracks across a six-month engagement.
Did the company deliver the project on time and within your expected budget?
The project landed on time. The budget was managed within the agreed ceiling, which included one client-driven scope addition that was quoted fairly and handled without affecting the original delivery stream. The discipline around budget transparency throughout meant there was no surprise at invoice stage.
What tangible results or business impact have you seen since the project was completed?
Quantifying the impact precisely is complicated by other variables in our business, but the metrics we can attribute directly to the AI & Machine Learning work are meaningful: session duration up, conversion rate up, error rate down, and our NPS for the digital touchpoint has improved by eleven points. Our account managers report that the new capability is coming up positively in client conversations.
What did you like most about working with this company?
The willingness to be direct. When our requirements were unclear they said so. When our priorities were contradictory they explained why. When a technical approach we had assumed was the right one turned out to have significant downsides, they told us before we had committed to it. That kind of intellectual honesty is what I look for in a long-term technology partner.
Would you recommend this company to others, and would you work with them again?
Yes. I would add the context that this is not the cheapest option in the market and they are selective about the engagements they take on. If your primary criterion is price, there are alternatives. If you want a technology partner who can be trusted with a complex AI & Machine Learning programme in the Insurance space and will deliver against a serious brief, this is the team.

Security posture transformed from a known liability to a competitive differentiator

Zara Hussain / Head of Technology - Ravi Digital Agency
Verified
Jan 08, 2026

Project summary: The transition to EV had created demand for dealer network management capabilities our existing system was not designed to support. A targeted rebuild was the agreed path forward.

We gave this team an aggressive timeline, a technically complex scope, and a client-side project team that was stretched thin and not always available at the speed the engagement required. They absorbed all of that gracefully. Where they needed input they were precise about what they needed and when. Where they could proceed independently they did. The result was a delivery that landed on time despite the constraints on our side, which I regard as evidence of genuine professional maturity.

PROS

Clear and consistent communication adapted appropriately for both technical and non-technical stakeholders, shared tooling that gave our team real-time visibility, reliable sprint delivery throughout

CONS

Time zone coordination required some deliberate overlap management from both sides in the first couple of sprints, after which we had an efficient async rhythm that worked for the whole project

4.0
Overall
4.0
Quality
4.0
Schedule
3.5
Cost
3.5
Communication
Project TypeCybersecurity
IndustryAutomotive
Project CostLess than $10,000
DurationFeb 2025 – Dec 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
Ravi Digital Agency is an established Automotive organisation headquartered in Lahore, Pakistan. My role as Head of Technology covers both strategic planning and operational technology delivery. We maintain high standards for our vendors because our clients hold us to high standards — a bar we expect our partners to meet.
What specific problem or business challenge led you to hire this company?
Our platform had been maintained by a previous vendor for three years and the accumulated technical debt had reached a point where delivery velocity had dropped to a fraction of what it should have been. We needed fresh engineering expertise and a structured plan to address the underlying issues.
What services did the company provide for your project?
The core engagement was Cybersecurity delivery, though their scope expanded to include technical consultancy during discovery that materially improved our requirements. They also took ownership of the third-party integration workstream that had been a coordination challenge in previous projects, removing that complexity from our internal team entirely.
Why did you choose this company over other providers you considered?
We ran a structured shortlisting process across five vendors. The technical evaluation eliminated two immediately. Of the remaining three, this team's proposal was differentiated by the specificity of their Cybersecurity approach and the evidence base they provided — reference projects in Automotive contexts, not generic case studies. The reference calls confirmed a track record that the proposal had described accurately.
How clearly did the company understand your requirements and business goals?
Thoroughly and precisely. The requirements document they produced was detailed enough that our QA team used it directly to write acceptance criteria. Every user story had a defined business objective attached. Nothing was left to interpretation. That discipline in the requirements phase paid dividends throughout development and testing.
How was your overall experience with their communication and project management?
Communication was proactive, timely, and appropriately calibrated. Technical updates for the engineering audience, executive summaries for the steering group, risk flags with proposed mitigations rather than just problem statements. The fortnightly sprint reviews gave our stakeholders visibility without requiring them to attend every working session.
Did the company deliver the project on time and within your expected budget?
On time and within the approved budget. The estimation accuracy was notable — they had broken the work down in sufficient detail during discovery that their forecast proved reliable throughout, rather than being a number that shifted with every change in scope. We received one change request and it was for scope we had introduced ourselves.
What tangible results or business impact have you seen since the project was completed?
We went live four months ago. User adoption exceeded the target we had set by 23 percent in the first month. Support ticket volume has dropped measurably. The features we had deferred because the previous architecture made them prohibitively expensive to build are now in development. The platform they built has opened our roadmap.
What did you like most about working with this company?
The continuity of the team. The engineers who participated in the discovery sessions were the engineers who built the system. That consistency of institutional knowledge across a six-month project has a value that is difficult to quantify but easy to notice when it is absent. Every conversation built on the previous ones.
Would you recommend this company to others, and would you work with them again?
Absolutely. With a specific note that the value starts in the discovery phase — clients who approach that process with seriousness will get the most from the engagement. We invested appropriately at the front end and the returns are evident in what was delivered.

AI models that replaced guesswork with evidence in decisions that matter most

Jia Hui Tan / VP of Engineering - RedDot Technologies Pte Ltd
Verified
Jan 08, 2026

Project summary: Multi-touch attribution across our media mix had become the most-requested capability from every client in our portfolio. We could not deliver it without rebuilding our data layer.

We had worked with three agencies before this engagement. The comparison is not flattering to the others. What distinguished this team was a systematic approach to understanding the problem before proposing a solution — something that sounds obvious and is practiced far less often than it should be. The delivery phase ran to schedule, the codebase is clean enough that our internal engineers made positive comments during handover review, and we have not logged a critical incident in five months of live operation. We intend to use them for our next phase of work.

PROS

Production system that has performed as specified since go-live without remediation work, documentation thorough enough to support internal maintenance, knowledge transfer that left our team genuinely capable

CONS

The engagement was priced at the quality level rather than the budget level. We evaluated the alternatives and concluded that the delta was a reasonable premium for the reduction in delivery risk

4.5
Overall
5.0
Quality
4.5
Schedule
4.0
Cost
5.0
Communication
Project TypeAI & Machine Learning
IndustryAdvertising & Marketing
Project Cost$50,000 to $149,999
DurationJul 2025 – Nov 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
As VP of Engineering at RedDot Technologies Pte Ltd I oversee technology investment and delivery across our Advertising & Marketing operations in Singapore. We are a commercially focused business and our technology choices are always evaluated in terms of their direct contribution to business outcomes rather than technical elegance alone.
What specific problem or business challenge led you to hire this company?
We had a defined product vision for our next phase of growth in the Advertising & Marketing market but lacked the engineering depth internally to execute it. The AI & Machine Learning requirements in particular required specialist experience that we could not realistically recruit for on the timeline our business plan required.
What services did the company provide for your project?
The scope covered the full AI & Machine Learning lifecycle: discovery and requirements definition, solution architecture, iterative development across twelve sprints, integration testing, performance validation, production deployment, and a structured four-week hypercare period. They also provided system documentation and a knowledge transfer programme for our internal team.
Why did you choose this company over other providers you considered?
A trusted peer in the Advertising & Marketing sector had used them for a comparable AI & Machine Learning engagement and their recommendation was unequivocal. Our own due diligence confirmed the pattern they described. The combination of domain knowledge, AI & Machine Learning depth, and demonstrated delivery discipline was the deciding factor.
How clearly did the company understand your requirements and business goals?
Extremely well, in part because they had relevant Advertising & Marketing experience that reduced the context-setting overhead significantly. They understood the domain vocabulary, asked the right questions, and translated business requirements into technical specifications with a fidelity that meant the development phase had very few clarification cycles.
How was your overall experience with their communication and project management?
Outstanding. The discipline around asynchronous communication was particularly effective given the time zones involved between Singapore and the delivery team. Written updates were specific and consistent, response times were same-day for anything that required a decision, and nothing fell through the cracks across a six-month engagement.
Did the company deliver the project on time and within your expected budget?
Yes to both. There was a single sprint where a dependency on a third-party API introduced a one-week delay. The team identified it three weeks in advance, presented two mitigation options, and we agreed on an approach that recovered the schedule within the same sprint cycle. That level of foresight is what separates good project management from reactive problem management.
What tangible results or business impact have you seen since the project was completed?
The ROI case we presented to our board was conservative by design. Current performance against the financial model suggests we will hit the projected payback point in under twelve months against an eighteen-month target. The operational efficiency gains in particular have exceeded the model, in part because the quality of the data the new platform generates supports decisions that the previous system could not.
What did you like most about working with this company?
The continuity of the team. The engineers who participated in the discovery sessions were the engineers who built the system. That consistency of institutional knowledge across a six-month project has a value that is difficult to quantify but easy to notice when it is absent. Every conversation built on the previous ones.
Would you recommend this company to others, and would you work with them again?
Absolutely. With a specific note that the value starts in the discovery phase — clients who approach that process with seriousness will get the most from the engagement. We invested appropriately at the front end and the returns are evident in what was delivered.

Performance marketing that produced positive ROAS in the first full campaign cycle

Yuki Hashimoto / Head of Product Development - East Asia Commerce KK
Verified
Jan 03, 2026

Project summary: Digital-first buyer behaviour had made our property search experience a genuine competitive liability. We needed it to match the quality of the portfolio it was representing.

What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.

PROS

Architectural decisions designed for longevity rather than just the current brief, thorough automated test coverage, post-launch stability that validated every technical choice made during discovery

CONS

The quality of documentation they produce means our team needed to set aside dedicated review time to do it justice — a minor scheduling point rather than a genuine criticism

5.0
Overall
5.0
Quality
5.0
Schedule
5.0
Cost
4.5
Communication
Project TypeDigital Marketing
IndustryReal Estate
Project CostLess than $10,000
DurationApr 2025 – Dec 2025

Questions & Answers

Please describe your company, your role, and the industry you operate in.
I lead technology at East Asia Commerce KK, a growth-stage Real Estate business based in Osaka, Japan. As Head of Product Development my remit spans product engineering, platform operations, and strategic vendor partnerships. We had reached an inflection point where our internal capacity was not sufficient to execute our roadmap at the pace our market required.
What specific problem or business challenge led you to hire this company?
Regulatory requirements in our Real Estate segment had changed and the compliance timeline was set by our regulator, not by us. The Digital Marketing changes required were significant enough to justify engaging a specialist partner rather than diverting our internal team from the product roadmap.
What services did the company provide for your project?
End-to-end Digital Marketing delivery with particular depth in the integration and data migration components, which were the highest-risk elements of the programme. They supplemented this with a dedicated QA resource throughout development and a documented runbook for our operations team at handover.
Why did you choose this company over other providers you considered?
A trusted peer in the Real Estate sector had used them for a comparable Digital Marketing engagement and their recommendation was unequivocal. Our own due diligence confirmed the pattern they described. The combination of domain knowledge, Digital Marketing depth, and demonstrated delivery discipline was the deciding factor.
How clearly did the company understand your requirements and business goals?
Better than we managed ourselves going in. The workshops they facilitated surfaced assumptions we had not examined and exposed three requirements that were in direct conflict with each other. Resolving those before development began saved us what would certainly have been significant rework later in the project.
How was your overall experience with their communication and project management?
Communication was proactive, timely, and appropriately calibrated. Technical updates for the engineering audience, executive summaries for the steering group, risk flags with proposed mitigations rather than just problem statements. The fortnightly sprint reviews gave our stakeholders visibility without requiring them to attend every working session.
Did the company deliver the project on time and within your expected budget?
On time and within the approved budget. The estimation accuracy was notable — they had broken the work down in sufficient detail during discovery that their forecast proved reliable throughout, rather than being a number that shifted with every change in scope. We received one change request and it was for scope we had introduced ourselves.
What tangible results or business impact have you seen since the project was completed?
We went live four months ago. User adoption exceeded the target we had set by 23 percent in the first month. Support ticket volume has dropped measurably. The features we had deferred because the previous architecture made them prohibitively expensive to build are now in development. The platform they built has opened our roadmap.
What did you like most about working with this company?
The continuity of the team. The engineers who participated in the discovery sessions were the engineers who built the system. That consistency of institutional knowledge across a six-month project has a value that is difficult to quantify but easy to notice when it is absent. Every conversation built on the previous ones.
Would you recommend this company to others, and would you work with them again?
Unreservedly. We are in active scoping conversations for a second engagement and I expect this to develop into a multi-year partnership. For any organisation in the Real Estate sector looking for Digital Marketing expertise combined with genuine delivery discipline, I would put this team at the top of the evaluation list.

Company Info

Founded 1983
Employees 50 - 249
Hourly Rate $300+ / hr
Client Rating 4.5/5 (24 reviews)

Rating Breakdown

Quality
4.6
Schedule
4.5
Cost
4.5
Communication
4.5