About Anuyat
Anuyat is a software development company that turns ideas into working products. The company's main offerings are Custom Software Development and Web Development. With 50 - 249 people on staff, Anuyat can take on projects of varying size. Typical hourly rates run around $25 - $49 / hr/hr. Their home base is Pune, India. This profile is a starting point — reach out to Anuyat directly to discuss project specifics.
Where We Specialize
Industry Expertise
Typical Project Size
Anuyat Reviews
Write a ReviewCross-platform delivery that felt native on every device from day one
Vikram Srinivasan / Head of Platform - Cascade EdTech SolutionsApr 14, 2026
Project summary: Our internal product thinking was strong but our execution capability in this specific technology domain was limited. We needed depth, not generalism.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
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
Their insistence on a detailed functional specification before development began felt like friction at the time. In retrospect, it was the reason the development phase ran without the ambiguity that has derailed similar projects for us previously
Questions & Answers
Immersive experience that generated more media coverage than anything we had shipped before
Sebastian Lapointe / CTO - Boreal Systems IncMar 30, 2026
Project summary: A previous engagement had delivered something that worked in staging and struggled in production. We approached this project with greater rigour in vendor selection as a result.
The technical quality of the final deliverable is the easiest thing to point to. The automated test coverage is thorough, the deployment pipeline is reliable, the documentation is genuinely useful rather than ceremonially produced. But the metric I keep returning to is the number of post-launch conversations we have not had to have. No incident calls at two in the morning. No emergency patches. No retrospective discussions about what went wrong. The absence of those events is the evidence I would show to someone considering this vendor.
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
We underestimated the input required from our subject matter experts during the requirements phase. The team flagged this early but our resource planning did not fully reflect it — our responsibility, not theirs
Questions & Answers
Analytics infrastructure that made our data science team genuinely productive for the first time
Elliot Thorne / Managing Director, Tech - Redwood Capital AdvisorsMar 20, 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.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
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
Pipeline availability for kickoff required a few weeks of lead time — in hindsight that selection pressure means you are working with a team that is in demand for the right reasons
Questions & Answers
Implementation delivered with the discipline, documentation, and change management it required
Eoghan Fitzgerald / VP of Engineering - Shannon Tech Solutions LtdMar 13, 2026
Project summary: Our engineering capacity was committed to maintaining existing systems and could not absorb a net-new build of this complexity. An external partner with the right skills was the only viable option.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
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
Questions & Answers
Cloud migration completed without the chaos our previous attempt had produced
Erik Lindqvist / Chief Technology Officer - Nordic Cloud ABMar 02, 2026
Project summary: The project had a board-facing delivery date tied to a strategic initiative. We needed a partner who would treat that date as their own, not ours.
The thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.
Delivery timeline that proved achievable rather than optimistic, estimation accuracy that reflected real analysis rather than competitive bidding, scope discipline that prevented the feature creep we had experienced before
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
Questions & Answers
AI models that replaced guesswork with evidence in decisions that matter most
Aoife Brennan / VP of Product Engineering - Emerald Digital LtdJan 20, 2026
Project summary: Our internal product thinking was strong but our execution capability in this specific technology domain was limited. We needed depth, not generalism.
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.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
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