Dedicated Team
A full team of engineers, designers, and a tech lead works exclusively on your project, integrated with your tools and workflows.
Best for: Ongoing product development and roadmaps that span quarters
AI-Native Software Engineering
Ship AI products to production without rebuilding your engineering team
The AI native engineering partner for SaaS and enterprise teams that have outgrown demos. Same engineers from discovery through ongoing partnership.
AI, engineering, cloud & design
Same team end to end
Production, not demos
150+Happy Clients
12+Years Delivery
13+Countries Served
24hResponse Window
27 services. One partner.
Pick what you need, or talk to us and we will architect the right combination
AI, engineering, cloud, and design — combined for your goal.
AI & Machine Learning
AI development that ships to production
From foundation models to agentic workflows. Production systems, not demos.
01
Custom AI from scratch. Computer vision, NLP, classification, recommendation, and fine tuning, built on PyTorch and TensorFlow with foundation LLMs on top.
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02
Autonomous agents that handle multistep workflows with tool use, MCP servers, and human in the loop checkpoints.
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03
Production LLM apps, RAG pipelines, fine tuning, and multimodal AI on Claude, Gemini, Llama, and the Hugging Face ecosystem.
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04
Chatbots, voice agents, and assistants for web, mobile, WhatsApp, and voice. Multilingual and transaction ready.
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05
Plug AI into existing products without rebuilding your stack. Semantic search, document AI, and AI powered analytics.
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06
Automate document processing, support triage, and back office workflows with agentic AI, RAG, and human in the loop oversight.
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Engineering & Apps
Software that scales with your business
Web, mobile, and full stack engineering with AI built into the workflow.
01
Custom platforms, internal systems, integrations, and AI powered products, built for your exact workflow with published pricing.
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02
Custom enterprise platforms, system integration, legacy modernization, and AI powered software — built to scale across an organization.
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03
React, Next.js, Node.js, Python, and Java, from MVP to enterprise scale SaaS. AI augmented engineering throughout.
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04
React web apps, dashboards, and SaaS in React, Next.js, and TypeScript, with performance and AI interfaces built in.
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05
APIs, real time systems, microservices, and AI product backends in NestJS, Express, and strict TypeScript.
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06
Webflow, Bubble, Xano, WeWeb, and FlutterFlow. MVPs and internal tools shipped in weeks, with a clean path to custom code as you scale.
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07
Build a production MVP, or scale, rebuild, secure, and take over one built on Supabase, Lovable, Xano, or WeWeb.
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08
Scalable Xano backends. Database, APIs, and business logic in one platform, built AI ready and rescued at scale.
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09
Production apps built on Lovable with Supabase backends, hardened and scaled by senior engineers, with a clean path to custom code as you grow.
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10
Native iOS (Swift) and Android (Kotlin), plus cross platform Flutter and React Native. App Store and Play Store launch support.
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11
Property discovery, brokerage tools, and operations platforms with AI, across shipped real estate products with published metrics.
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12
Booking engines, host and operations tools, and AI recommendations for travel and hospitality platforms.
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13
Payments, lending, neobanking, wealthtech, and insurtech, built security first with KYC, AML, and PCI DSS readiness.
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14
Telemedicine, remote monitoring, EHR integration, and clinical AI, built HIPAA ready with HL7 and FHIR interoperability.
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15
End to end builds with shared codebases where it fits, native performance where it matters.
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16
Playwright with LLM generated specs, visual regression, and flaky test detection. Shorter regression cycles without sacrificing coverage.
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17
Roll out Claude Code across your engineering team. Secure setup, MCP servers, agent skills, and productivity coaching.
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Cloud & Data
Infrastructure and insights, optimised together
From cloud architecture to data products that drive decisions.
01
AWS, GCP, Azure. Kubernetes, Terraform, CI/CD, observability, and FinOps cost optimisation for production workloads.
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02
Data pipelines, warehouses, BI dashboards, predictive ML, and custom analytics applications.
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03
Google Workspace setup, migration, AppSheet automation, security hardening, and team training.
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Design
Product design that ships
Discovery, design systems, and prototypes built for engineering handoff.
Ways to Work Together
Pick the engagement model that fits
Three ways to bring Quantum Infoway into your stack. Switch between models as your needs evolve.
Project Based
Fixed scope, timeline, and budget. We deliver the project against a written spec and hand off the codebase with documentation.
Best for: Defined deliverables such as MVPs, integrations, and migrationsStaff Augmentation
Plug individual engineers into your existing team. Vetted, production experienced developers ready within 1 to 2 weeks.
Best for: Scaling capacity, filling a specific role gap
How It Works
How a project flows
Discovery to ongoing partnership, with the same engineers end to end.
Discovery & Architecture
Goals, constraints, data, and success metrics. We push back on scope that will not ship. You get a tech spec, a cost, and a timeline.
Build & Iterate
AI augmented engineering. Weekly demos. Real users from week 3. Course correct early instead of polishing a wrong solution.
Ship & Instrument
Monitoring, evals, runbooks, and on call setup. Live before launch, not after. Performance budgets enforced at deploy.
Maintain & Evolve
Retainers for performance, security, and feature work. Same engineers stay on, so no knowledge is lost.
Need talent instead of a project team?
Sometimes you need engineers, not a project. Browse specialised hire roles and find vetted developers ready to plug into your team.
Browse Hire Roles
FAQ
Common questions
How do I know which Quantum Infoway service I need?
Quantum Infoway recommends starting with a free discovery call when the right service mix is not obvious. We map your goal to the right combination of services, whether that is AI strategy, engineering, design, or staff augmentation. Most projects combine 2 to 3 services, for example AI Development plus Cloud plus UI/UX. The initial call typically includes a written recommendation within one business day.
What sizes of project do you take on?
Quantum Infoway works with startups (MVPs from $25K), mid market companies (scaling existing products, $100K to $500K), and enterprises (transformations and modernisations, $500K+). What stays constant is production grade engineering, regardless of budget. The discovery call helps scope an engagement that fits.
Do you work with regulated industries (healthcare, fintech)?
Yes. Projects are configured to meet GDPR, HIPAA, PCI DSS, and sector specific requirements as part of discovery. For sensitive workloads, deployments use private cloud endpoints (Azure OpenAI, AWS Bedrock, Vertex AI) or self hosted open weight models on customer infrastructure.
How do I work with Quantum Infoway, as a project, a dedicated team, or staff augmentation?
Quantum Infoway offers three engagement models. (1) Project based, with fixed scope, timeline, and budget for defined deliverables. (2) Dedicated team, where engineers and designers work exclusively on the customer project, integrated with the tools the customer already uses. (3) Staff augmentation, where individual developers slot into the existing customer team via our hire roles. Most dedicated and staff augmentation engagements begin within 1 to 2 weeks of the discovery call.
Where is your team based?
Quantum Infoway is headquartered in India, with a US presence. The engineering team works across 13+ countries. Time zone overlap with US, EU, and APAC clients is standard. Most projects use a hybrid sync/async cadence. Daily standups run in the customer time zone, and deep work hours follow the engineer.
How long does a typical engagement run?
An MVP at Quantum Infoway runs 4 to 12 weeks. Mid complexity SaaS or AI applications run 3 to 6 months. Enterprise transformations run 6 to 12+ months. A short discovery program is a structured entry point for teams that want to start small and scope iteratively.
How do you protect our IP and source code?
Every Quantum Infoway engagement assigns 100% IP and source code ownership to the customer on signing of the master agreement. Code is developed in customer owned repositories (GitHub, GitLab, Bitbucket) where possible, with isolated branches per engagement. Every engineer has signed a confidentiality agreement with Quantum Infoway. Access controls, data classification, and incident response follow industry standard practices.
What does support look like after launch?
Every Quantum Infoway project ships with monitoring, observability, and runbooks in place. Ongoing maintenance retainers cover performance, security patches, dependency updates, and feature work. The same engineers who built the product stay on, so no knowledge is lost.
Tell us what you are evaluating
Share what you are building or hiring for. We respond within one business day with a read on fit and a proposed next step.
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