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A fair comparison of Quantiphi and Aptibit: a cloud-aligned applied AI firm and a product-first AI company building for cloud, on premise and air-gapped sites.
This comparison is written by Aptibit, so we have an interest in the outcome. We have aimed to be fair. What we say about Quantiphi is based on widely known public information, and we have avoided figures we cannot source.
Quantiphi is a respected applied AI firm with deep expertise on the major cloud platforms, particularly Google Cloud.
Aptibit is a product-first AI company. We build AI that runs anywhere: in the cloud, on premise, at the edge or fully air-gapped.
Choose Quantiphi when your AI strategy lives inside one cloud. Choose Aptibit for computer vision, real-time AI and deployments where data must stay on your own infrastructure.
Quantiphi has built a strong position in applied AI and cloud engineering. It is widely recognised for its close partnership with Google Cloud and also works with AWS.
Its capabilities span data engineering, machine learning and cloud infrastructure. It is especially strong at helping enterprises move workloads to the cloud and build AI on top of managed cloud services.
That makes Quantiphi a natural partner for enterprises committed to one cloud ecosystem. Its teams know managed machine learning platforms, serverless computing and cloud data warehouses in depth.
Quantiphi serves clients across sectors including financial services, healthcare and retail. For organisations whose AI strategy is built around a cloud provider, it brings relevant, proven expertise.
Aptibit works from a different starting point. We are a product company that also engineers AI for clients, not a services firm that occasionally builds a product.
One of our two products, Visylix, is an automated AI video surveillance platform. Building it meant solving hard problems: live video at very low delay, fast and accurate AI on every camera, and systems that keep running without pause.
Those habits travel with our engineers into every client project. They plan for performance, failure and growth by instinct, not because a checklist demands it.
That product-builder mindset is hard to reproduce in a firm that has only ever delivered services. It is one of the clearest differences we bring.
The most convincing proof of an AI company is what it builds. Visylix shows our depth across the whole system.
It watches through 22 AI analytics built in-house, from face recognition and number plate recognition to fire, PPE and anomaly detection. Each camera learns its own normal, and marking a false alarm tightens its thresholds automatically, never below the limit an operator sets.
It decides through Sudarshan, our automation layer, with rules that combine conditions, sequences and access-control events. It acts through alerts, signed webhooks, SIEM integrations and talkdown through the camera speaker.
The Radha AI copilot runs on an on-premise language model with 111 tools. It searches footage in plain language, builds automations and briefs each shift. Thirteen high-impact actions always ask for confirmation, it has no delete tool and every call is audit-logged.
Visylix supports 13+ streaming protocols, delivers live view in under a second over WebRTC (the browser standard for real-time video) and ships as a Docker image on the customer's own hardware.
When you evaluate Aptibit, you can see a complete, working product. That says more about our engineering than any slide.
Cloud-aligned firms tend to favour larger, multi-phase projects tied to cloud transformation. That delivers real value for enterprises modernising end to end.
It can be less suited to teams that need a focused AI solution quickly. And cloud-centred designs may not fit enterprises with on-premise requirements or strict data residency rules.
Aptibit works across cloud, on-premise, edge, hybrid and air-gapped deployments with equal confidence. We shape each engagement to your situation, from a focused three-month proof of concept to a full AI platform build.
Our Kolkata base means senior engineering at India cost levels, well below US and Western European rates.
The right choice depends on the shape of your AI challenge. If you need cloud AI migration or want to get the most from a single cloud platform, Quantiphi's depth and partnerships make it a logical choice.
If your AI must run on premise, at the edge or in hybrid environments, Aptibit is the stronger partner. The same is true if your challenge involves computer vision, video, real-time processing or building an AI product.
Building Visylix taught us to make AI perform on the hardware a client already owns, not only on unlimited cloud capacity.
We encourage you to evaluate both and decide on your own requirements. To discuss your project, write to us at info@aptibit.com.
Quantiphi is an applied AI and data engineering firm known for its close partnerships with the major cloud providers, especially Google Cloud. Aptibit is product-first: we build our own platform, Visylix, and engineer AI that runs wherever the client needs it, from the cloud to fully air-gapped sites. Choose Quantiphi for cloud-native AI programmes. Choose Aptibit for product engineering and deployments where data must stay on your own ground.
Yes, we build on Google Cloud and AWS. But we are not aligned to any single cloud provider. If your strategy is to get the most from one provider's AI platform, Quantiphi's specialisation is a genuine strength. If you want an architecture that stays independent of any one provider, or spans several, Aptibit gives you more freedom.
Aptibit. Visylix is a complete AI video surveillance platform we built ourselves, with 22 AI analytics built in-house and a native streaming engine. Quantiphi offers computer vision as part of a broad applied AI portfolio; for us, it is the flagship.
Yes. On-premise and air-gapped deployment is built into our product strategy. Visylix runs its AI and its copilot entirely inside the customer's network, and video never leaves the building. Cloud-aligned firms can adapt to on-premise work, but for us it is home ground. For industries where data must stay put, Aptibit is usually the better fit.
Cloud-aligned AI programmes usually combine services fees with cloud consumption costs. Aptibit offers dedicated teams, fixed-scope projects and team extension, with senior engineering at India cost levels, well below US and Western European rates. On-premise designs can also remove recurring cloud compute costs, which is worth modelling for any long-running AI workload.
For most mid-market companies, Aptibit. Our engagement model suits fast iteration, focused budgets and product-led delivery. Large, multi-phase cloud transformation programmes are where Quantiphi's model shows its strengths.