AI-driven. Human-perfected.

We engineer AI-first solutions for businesses

AI accelerates how fast we build. Senior engineers decide what is worth building, and own it end to end. That combination is what takes an enterprise AI system out of the sandbox and into production, with the governance your security and compliance teams need.

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16+
Years engineering
1500+
Solutions shipped
750+
Enterprise clients
200+
In-house engineers

Trusted By

750+ happy clients, including top Fortune 500 companies

Why Sphinx Solutions

AI-native Engineering That Transforms Business

Custom AI and software development services that accelerate innovation for smarter businesses.

01

Strategy

Direction before development, scoped for return rather than for hours.

02

Planning

Roadmaps with milestones tied to business KPIs, not to feature counts.

03

Hyperautomation

Manual bottlenecks removed at enterprise scale, with oversight kept.

04

Innovation

Applied and production-grade, not a lab experiment that never ships.

05

Next-gen engineering

Architectures built to extend, not to be rebuilt again in a year.

06

Execution

Shipped, monitored and owned end to end by the team that built it.

AI Use Cases

AI Has Many Solutions. Find Yours.

Explore real-world AI solutions for the enterprise and find the ones that fit your biggest challenges.

  • AI agents

    Multi-step autonomous workers that execute business tasks with oversight.

  • Generative AI

    Content, code, and design generation tuned to your brand and data.

  • AI chatbots

    Conversational AI systems that resolve your customers’ problems.

  • Intelligent document processing

    Extract, classify, and act on unstructured business documents at scale.

  • Predictive analytics

    Forecast demand, churn, and risk before they hit.

  • Recommendation engines

    Personalisation that moves your key metrics, not just clicks.

  • Enterprise search

    Ask your company’s own knowledge base a question and get an answer.

  • Computer vision

    Detection, inspection, and monitoring built on visual data.

  • Automation platforms

    Orchestration layers that connect agents, RPA, and human review.

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AI solutions

Outcomes we are hired to deliver

Engineering services stated as what they change for your business, not only as what we build.

The entry point for most engagements. We work out where AI actually pays off in your operation, whether your data is ready to support it, and what the first system should cost before you commit a build budget. You leave with a scoped, costed roadmap and a use case ranked by return, not a deck.

  • Use Case Selection
  • Data Readiness
  • Costed Roadmap

Production applications built on LLMs and machine-learning models: copilots, assistants, document intelligence, computer vision and predictive engines. Generic LLM wrappers plateau within weeks, so ours ship with retrieval, memory, tool use, evaluation and guardrails from the first release.

  • LLMs
  • RAG
  • Machine Learning
  • Computer Vision

Agents that plan, execute multi-step work across your systems, and recover when a step fails. Autonomous where that is safe, and checked by a person wherever it is not. This is where RPA and AI meet: rule-based bots for the predictable path, agents for the judgement calls, and one audit trail across both.

  • LangGraph
  • AutoGen
  • Bot Orchestration
  • Human-in-the-Loop

AI inside our own delivery, on your project. It generates first drafts, exercises code paths and surfaces patterns faster than a team can by hand, while senior engineers review every output and stay accountable for what reaches production. You get the speed without inheriting the risk.

  • Faster Delivery
  • Senior Review
  • Production Ownership

Private model deployment inside your VPC or on-premise, role-based access on every retrieval path, prompt and output logging, and human review where decisions carry consequences. Built to align with the HIPAA, GDPR and SOC 2 requirements your auditors will ask about.

  • Private Deployment
  • Access Control
  • Audit Trails
  • Evaluation

Connected device platforms that turn sensor data into decisions in real time, from edge firmware through to the dashboards your operators use on the floor.

  • Edge Computing
  • MQTT
  • Real-Time Analytics

Bespoke platforms designed around your operations rather than around a template. Architected to scale, documented to hand over, and built to outlive their first release.

  • Web Platforms
  • APIs
  • Cloud Native

Native and cross-platform apps for iOS and Android, tuned for real-world performance on the devices your customers actually carry.

  • iOS
  • Android
  • React Native

Smart contracts, wallets, and distributed ledgers, applied where verifiable trust genuinely earns the added complexity, and not where it does not.

  • Smart Contracts
  • Solidity
  • Web3

Storefronts and marketplaces built to convert, with AI-driven merchandising, search, and recommendations wired in from the first sprint.

  • Headless Commerce
  • Payments
  • Personalisation

Our philosophy

Innovated by AI. Perfected by people.

AI gives us speed. Our engineers give you judgement, accountability, and a system that still works when the request does not fit the pattern. That applies to the agents we build for you too: autonomous where it is safe to be, checked by a person wherever it is not.

Artificial
intelligence

Speed · scale · pattern-finding

Accelerates the build

Generates first drafts, tests code paths, and surfaces patterns across data at a speed no team could match by hand.

Sphinx
delivery

Faster, without the risk

You get delivery speed with the judgement, traceability and ownership that a model on its own cannot provide.

Human
expertise

Judgement · context · ownership

Decides what is right

Engineers review every output, make the architecture calls, and stay accountable for whatever ships into production.

How we work

From AI strategy to production, in defined stages

Most enterprise AI spend does not fail on the model. It fails on execution, which is why our engagements are structured around decisions and sign-offs rather than experiments.

See the full delivery process

01

Structured methods

Defined phases rather than open-ended experimentation. Decisions get made early, where they are cheap, instead of drifting into the build.

02

Clear deliverables

Roadmaps, architecture blueprints and working software at every stage, so progress is something you can open rather than something you are told about.

03

Quality gates

Named review points and sign-off criteria before anything reaches production, including evaluation, bias and security testing on every model.

04

Measurable outcomes

The business metric the system is meant to move is agreed before the first sprint, then tracked after launch rather than assumed.

Results That Matter for Your AI Investments

We build AI agents that carry on learning once they are live, so the systems keep pace with the business rather than freezing at whatever the launch spec happened to say. What we report back is whatever actually shifted: how fast work ships, what it costs to deliver, and whether clients stay. The figures below come from engagements we are running now.

3X Faster releases
40% Lower development costs
99% Client retention rate
100% Transparent collaboration

Highly Rated Across Top Platforms

Tech Stack

Powered by Leading Technologies

  • TensorFlow
  • PyTorch
  • OpenAI
  • LangChain
  • scikit-learn
  • Hugging Face

Client Testimonials

What Our Clients Say

Trusted by founders, CTOs, and product leaders at companies building the future with AI.

Anchala Tomar
Anchala Tomar Founder · Maltiplai Watch story →
Gaurav
Gaurav Founder · Sarwa.shop Watch story →
Sayee Shishir Karna
Sayee Shishir Karna Founder · lock4phone Watch story →
Mike
Mike Founder · Aspirock Portal Watch story →
Heini Zachariassen
Heini Zachariassen CEO & Founder · Vivino
Frederik Krass
Frederik Krass COO · Zenyum
Jonathan Weins
Jonathan Weins CEO · Pop Meals
Gab Sutherland
Gab Sutherland CEO · House Bytes
I can rely on Anand and Sphinx Solutions for my projects. He is professional, knowledgeable and delivers great results, and focuses on customer satisfaction. We have partnered on various projects, and he has become one of my most trusted colleagues.
Anchala Tomar Founder Maltiplai
Team Sphinx has demonstrated exceptional dedication throughout the development of our multi-vendor food platform. Their commitment and work ethic have been truly commendable. The final outcome is highly impressive, and we are excited about the potential for many more milestones together in the future.
Gaurav Founder Sarwa.shop
Choosing Sphinx Solutions for my app development was a game changer. Initially I was leaning towards a Bangalore-based firm, but it failed to meet my expectations. After detailed research I approached Sphinx as a reliable alternative. With immense dedication they promptly addressed all my project concerns and delivered unmatched solutions on time.
Sayee Shishir Karna Founder lock4phone
Thank you Sphinx Solutions for delivering exceptional services. Their expertise and dedication set a new benchmark in service excellence. Looking forward to more remarkable tech partnerships.
Mike Founder Aspirock Portal
We have been working with Sphinx Solutions for a long time now. Sphinx Solutions is a trustworthy and reliable company. They have delivered us amazing mobile apps with awesome user interface and experience.
Heini Zachariassen CEO & Founder Vivino
Highly recommended! Sphinx Solutions is the best go-to mobile app development company. They have an outstanding team of professionals working under the direction of Anand Mahajan. Sphinx has successfully created two very diverse apps for us, both in Android and iOS.
Frederik Krass COO Zenyum
I can rely on Anand and Sphinx Solutions for my projects. He is professional, knowledgeable and delivers great results, and focuses on customer satisfaction. We have partnered on various projects, and he has become one of my most trusted colleagues.
Jonathan Weins CEO Pop Meals
We hired Sphinx Solutions to complete a SaaS-based web app. After four months I was able to take my app to market. Highly recommend. We will be working with them again in the future.
Gab Sutherland CEO House Bytes

Case Studies

Client Success Stories With Measurable Results

We work with you from the first brainstorm through to the final breakthrough. These are the projects where strategy turned into something that shipped and scaled.

The Vivino app running on a phone beside a bottle and glass of red wine

Sphinx Solutions helped build the world’s #1 wine app

Now used by 74 million+ wine lovers globally. Source: Vivino

VIVINO

Problem

A platform where wine lovers could scan any wine label, instantly access ratings, reviews, and pricing, and buy directly from vetted merchants. No reference existed in the market.

Challenge

To build an OCR-powered wine platform without references, holding accuracy and performance while scaling for a growing global audience.

Solution

An iOS and Android app with OCR label scanning, ratings, reviews, pricing aggregation, recommendations, and a scalable backend supporting global users, a shopping cart, and wishlists.

The Energi Bharat app on a phone beside an EV charging station

Sphinx Solutions helped digitise India’s growing EV charging network

Now powering thousands of EV users across locations.

ENERGI BHARAT

Problem

A need for one platform where EV drivers could locate charging stations, check availability, and manage charging without juggling fragmented systems.

Challenge

To handle real-time station data, location tracking, and payments while staying reliable across a wide range of devices and connectivity conditions.

Solution

A cross-platform mobile app with real-time station discovery, live status updates, secure payments, user dashboards, and a backend built for growing EV infrastructure.

The No Stress Impress app shown on two phones

NO STRESS IMPRESS

AI-powered student productivity and mental wellness platform

Problem

Students struggled to balance academics, deadlines, and mental well-being. Existing tools were too generic or too impersonal, which meant low engagement and little effect on stress.

Challenge

To build an AI-driven platform that manages tasks and schedules while reading behaviour, stress patterns, and productivity gaps, and still feels simple to use.

Solution

An AI-powered mobile platform with task planning, mood tracking, and behavioural insights, using recommendations and analytics to lift productivity, engagement, and consistency.

Industries

Making Industries AI-ready

Resources

Insights by Industry Experts

Connect with us

Turn an idea into a governed, production-ready AI system.

A 45-minute working session with our AI architects. You leave with a scoped approach and an honest view of whether it is worth building, not a sales pitch. Senior engineers only.

  • USA
  • UK
  • UAE
  • India

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We’ll get back to you in 1 to 2 business days.

Questions from
decision-makers

What security, compliance and engineering leaders ask us before an AI system reaches production. Can’t find your answer? Get in touch.

Your data stays inside your environment. We deploy open-weight models inside your VPC or on-premise, or use a commercial API under a zero-retention agreement, and in neither case is your data used to train an external model. Retention, redaction and data residency are settled at architecture time rather than patched in afterwards.

Yes. Private deployment is the default for regulated clients: the model, the retrieval layer and the logs all sit inside your network boundary. Where a hosted model genuinely performs better for a use case, we will say so and show you the trade-off rather than quietly making the choice for you.

By grounding it. Answers come from your own content through a retrieval layer rather than from the model’s memory, every answer carries its citations, and outputs are evaluated against a held-out set before release. Where a wrong answer would carry real consequences, a person reviews it before it acts.

A ranked shortlist of use cases with an estimated return on each, an honest assessment of whether your data can support them, a target architecture, and a costed roadmap for the first build. If the finding is that AI is the wrong tool for the problem you brought us, that is what the document will say.

It depends on scope, on how many systems it has to integrate with, and on how much of your data is usable as it stands. Rather than quote a range that would be meaningless, we scope the work properly and give you a fixed figure. Our AI development cost calculator will give you an indicative estimate in the meantime.

The business metric it is meant to move is agreed before the first sprint, with a baseline taken at the same time. After launch we track that metric alongside adoption and model performance, because a system nobody uses and a system that scores well in evaluation are both easy to mistake for success.

Yes. Most clients stay on a support agreement covering monitoring, model and dependency upgrades, evaluation reruns as your data shifts, and a defined response time. You get a named engineering lead rather than a rotating queue, and we can hand over cleanly to your in-house team whenever you would rather run it yourselves.

16 years of delivery, 200 in-house engineers, and a willingness to push back when a request will not serve you. We would rather lose an argument early than build the wrong thing well. Ask us for references from engagements that resemble yours in scale and domain.