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Generative AI
Development Company 

Build Intelligent AI That Creates, Thinks & Delivers 

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Trusted by 1500+ happy clients, including some top fortune 500 companies

What is Generative AI Development?

Generative AI creates original content, such as text, images, code, audio, and video, by learning patterns from large datasets and producing entirely new outputs based on prompts or instructions. Unlike traditional AI systems that classify existing data or make predictions from a fixed dataset, generative AI actively creates.

Large Language Models

LLM

Text, Code, Reasoning Tasks

Diffusion Models

DALL-E 3

Image & Video

Transformer-based Multimodals

Multimodal

Text, Image, and Audio

Custom generative AI development means building production-grade applications on top of these models fine-tuned on your proprietary data, integrated into your systems, and governed by the compliance rules your industry demands.

Sphinx Solutions doesn't build demos. We build generative AI systems that automate real workflows, reduce operating costs, and scale with your business.

What Can Sphinx Solutions Build For You?

LET'S TALK

What We Build 

Generative AI Development Services

Some businesses need a custom chatbot on proprietary data. Others need agnostic workflows that operate autonomously. We scope the right approach first, then build with precision.

01 RAG Application Development
02 LLM Fine-Tuning Services
03 AI Agent Development & Agentic AI
04 Custom LLM Application Development
05 Multimodal AI Development
06 Generative AI Consulting & PoC Development
RAG Application Development
RAG Application Development

Build AI applications that retrieve information from your business data to generate accurate, context-aware responses while reducing hallucinations. Ideal for knowledge assistants, document search, support bots, and enterprise information retrieval.

LLM Fine-Tuning Services
LLM Fine-Tuning Services

Customise pre-trained models like GPT, Llama, or Mistral using your business data to deliver more accurate, domain-specific outputs. We handle training, optimisation, and deployment for high-performing AI models.

AI Agent Development and Agentic AI
AI Agent Development & Agentic AI

Build autonomous AI agents that reason, make decisions, and execute multi-step tasks across systems. Ideal for automating support, research, coding, and complex business workflows with minimal human involvement.

Custom LLM Application Development
Custom LLM Application Development

Build tailored LLM-powered solutions like chatbots, copilots, and intelligent search tools integrated with your systems. We choose the right AI models and platforms based on your goals, scalability, and budget.

Multimodal AI Development
Multimodal AI Development

Build AI solutions that process and generate text, images, audio, and mixed-media data in one system, enabling smarter automation, richer insights, and advanced use cases across industries.

Generative AI Consulting and PoC Development
Generative AI Consulting & PoC Development

Assess AI opportunities, define the right roadmap, and validate ideas with a Proof of Concept before full-scale development. We help you reduce risk and maximise ROI from AI adoption.

What We Solve 

Generative AI Solutions 

We diagnose the business problem first, then engineer the generative AI solution that addresses it precisely. Our solutions are architected around your data, your workflows, and your compliance requirements. 
Features
Build RAG-powered assistants that turn internal documents into instant, accurate answers, helping teams access knowledge faster through natural language search.
Automate extracting, classifying, summarising, and routing documents with generative AI, reducing manual effort and turning days of work into minutes.
Build AI assistants for support, onboarding, and helpdesks that automate repetitive queries, improve response accuracy, and escalate complex issues intelligently.
Develop AI-powered content generation systems to create personalised, brand-aligned, SEO-ready content, reports, and documentation accurately and efficiently at scale.
Build autonomous AI agents that execute workflows, automate tasks, connect systems, and streamline operations with intelligent, action-driven automation.
Deploy secure generative AI models within your private cloud or on-premise infrastructure, ensuring full data privacy, compliance, and control.

WHAT WE WORK WITH?

Generative AI Model Specialisation

Model Best For
GPT-4o / GPT-4 Turbo
Complex reasoning, code generation, multimodal tasks
Claude 3.5 Sonnet / Claude 3 Opus
Long-context analysis, document processing, precise instruction-following
Gemini 1.5 Pro / Gemini 1.0 Ultra
Multimodal applications, 1M token context window, Google ecosystem
Llama 3 / Llama 3.1
On-premise deployment, data privacy, cost-sensitive applications
Mistral Large / Mixtral
Private cloud deployment, European data compliance (GDPR)
Phi-3
Edge deployment, low-latency applications, mobile AI
Stable Diffusion XL / SDXL Turbo
Image generation, product visuals, creative content platforms
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Experts Insights

In our experience, enterprises achieve the fastest ROI from Generative AI when they focus on workflow augmentation instead of full automation. The biggest wins usually come from knowledge management, customer support, and document intelligence.

Anand Mahajan

Anand Mahajan

CEO, Sphinx Solutions

Read more

Proof of Work

AI Development Projects That Delivered
Measurable Results

JUST BREATHE 

How Sphinx Built the AI-Powered Air Purification Platform

Award-Winning Control Intelligence Layer for an Air Purification Platform

  
Problem

Just Breathe had engineered a nature-inspired indoor air purification device combining lab-cultivated plants, advanced AI airscope™ sensors, and airvision™ air quality analytics. The hardware was award-winning. The gap was the software. 

  
Challenge

They needed a cross-platform IoT app enabling real-time air quality monitoring, remote device control, and actionable insights, built from scratch without existing templates in this space. 

  
What We Built

Cross-platform IoT app (web, iOS, Android) integrating AI sensors for real-time air quality monitoring, insights, device control, alerts, energy optimisation, and scalable multi-device deployment. 

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NO STRESS IMPRESS 

AI-Powered Dental Impression Guidance Platform 

Digitizing At-Home Dental Experiences Through Intelligent Guidance 

  
Problem

Users taking dental impressions at home often struggle with errors, low confidence, and repeated submissions, creating friction in the customer journey and operational inefficiencies. 

  
Challenge

No Stress Impress required a digital solution that could guide users step-by-step, simplify impression capture, and improve submission success rates while delivering a seamless mobile experience. 

  
Solution

Built an AI-enabled mobile platform with guided tutorials, image capture workflows, submission review functionality, cloud infrastructure, and intelligent assistance to streamline at-home dental impressions.  

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AMAZE ADS  

AI Ad Automation Platform for Amazon & Walmart 

Helping Brands Recover Revenue and Optimise Advertising Performance  

  
Problem

Marketplace sellers struggled with wasted ad spend, manual campaign optimisation, and lost revenue caused by inventory fluctuations and inefficient advertising management. 

  
Challenge

Amaze Ads needed an intelligent platform capable of automating campaign decisions, improving ad performance, and minimising revenue leakage across marketplace ecosystems. 

  
Solution

Engineered an AI-powered ad automation platform with campaign optimisation, smart bid management, performance monitoring, revenue recovery mechanisms, and automated ad intelligence for sellers. 

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← →

Every solution we build is AI-ready by architecture, so your business grows smarter. We engineer software around the way your business, processes, integrations, and growth targets. We bring years of delivery precision to every project across the world. 

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How We Build It

Generative AI Technology Stack

Every technology in our AI development stack is chosen for performance, scalability, and long-term maintainability. As an AI software engineering company, we select every model, framework, and piece of infrastructure based on your use case.

LangChain LlamaIndex AutoGen Semantic Kernel Haystack
GPT-4o Claude 3.5 Gemini 1.5 Llama 3.1 Mistral Large Phi-3
Pinecone Weaviate ChromaDB Qdrant Milvus
AWS Bedrock Azure OpenAI Google Vertex AI Hugging Face Inference
vLLM TGI (Text Generation Inference) Triton Inference Server Ollama
LangSmith Arize Weights & Biases MLflow Prometheus + Grafana
Python Node.js RESTful API
AWS Azure GCP Docker Kubernetes Terraform
Hugging Face PEFT LoRA / QLoRA TRL Axolotl OpenAI Fine-Tuning API
Stable Diffusion XL DALL-E 3 ComfyUI Diffusers

How We Work

Generative AI Development Process

Our generative AI development lifecycle is structured, milestone-driven, and built for production deployment. Here's exactly what happens from your first conversation to your first live system.

STEP 1
Discovery & Use Case Scoping

What We Do: We assess workflows, identify high-ROI AI opportunities, evaluate data readiness and compliance, and then recommend the right generative AI architecture for your business.

What You Get:

  • Scoped AI use case with business case validation
  • Model recommendation with rationale (open vs proprietary)
  • Data readiness assessment
  • Compliance risk register (HIPAA, GDPR, SOC 2 as applicable)

STEP 2
Architecture Design & Model Selection

What We Do: Our AI architects design scalable system blueprints covering data pipelines, model infrastructure, retrieval logic, APIs, security, and monitoring before development begins.

What You Get:

  • Documented AI architecture with infrastructure diagram
  • Chosen tech stack with rationale
  • Data pipeline design
  • Security and compliance architecture

STEP 3
Data Preparation & Model Configuration

What We Do: We prepare data, build embedding pipelines, configure vector databases, fine-tune models when needed, and validate outputs against quality benchmarks before deployment.

What You Get:

  • Cleaned and structured training/retrieval dataset
  • Configured vector database with your domain data
  • Fine-tuning evaluation report (if applicable)

STEP 4
Application Development & Integration

What We Do: We develop complete AI applications with interfaces, APIs, business logic, and system integrations, delivered through agile sprints with continuous, demo-ready progress.

What You Get:

  • Sprint demos with working, testable builds
  • Full integration with your existing stack
  • Human-in-the-loop controls are required where applicable

STEP 5
Evaluation, Safety Testing & Hallucination Mitigation

What We Do: We test AI for accuracy, safety, retrieval quality, tool reliability, and failure recovery, with validation layers, confidence scoring, and human review checkpoints.

What You Get:

  • Evaluation report with benchmark scores
  • Hallucination mitigation architecture documented
  • Output safety and compliance validation

STEP 6
Deployment, Monitoring & Ongoing Optimisation

What We Do: Deploy securely on cloud or on-premise with containerised infrastructure, CI/CD automation, and continuous monitoring for performance, latency, model quality, costs, and drift.

What You Get:

  • Production deployment with SLA-backed uptime
  • Live AI monitoring dashboard
  • Monthly model performance reviews
  • Retraining and prompt optimisation roadmap

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Model Comparison

Generative AI Models Comparison

Choosing the right model is the foundation of a successful Generative AI project. Here is how the leading models compare across what they do best, their input and output types, and the enterprise use cases they power.

AI Model Best For Input Type Output Type Enterprise Use Cases
GPT-4/5 Text generation & automation Text Text Chatbots, copilots, customer support
Gemini Multimodal reasoning Text, Image, Video Text, Image Enterprise assistants, analytics
Llama Open-source AI applications Text Text Private AI deployments
DALL-E Image generation Text Images Marketing creatives, design
Stable Diffusion Custom image generation Text Images Branding, content creation
Whisper Speech recognition Audio Text Transcription, voice assistants
Sources: OpenAI Platform Documentation, Google Gemini Documentation

How We Engage

Engagement Models That Fit Your AI Project

We offer three fully transparent engagement models so you can partner with Sphinx Solutions in the way that matches your stage, budget, and desired level of control.

GenAI PoC Sprint

Designed for enterprises exploring AI feasibility before making a full-scale investment. With a fixed scope, fixed cost, and 4-6 week delivery, we build a working prototype along with an architecture blueprint to help validate your idea with confidence. 

Agile AI Build

Designed for product teams building and evolving generative AI applications, this model offers sprint-based delivery, a flexible reprioritizable backlog, and transparent monthly invoicing based on actual hours used. 

Dedicated AI Team

For businesses needing long-term AI expertise, we provide a fully managed, cross-functional team of AI engineers, ML specialists, and DevOps experts embedded into your workflow to accelerate innovation and delivery.

Not Sure Which Model Fits Your Project Stage

Book a 30-Minute Engagement Consultation.

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Who we build for

AI Development Across Industries

Healthcare

We build generative AI solutions for healthcare, including clinical documentation automation, AI-powered patient triage, medical decision support, and intelligent assistants that improve care delivery while supporting compliance and security.

Automotive

Our generative AI solutions for automotive support predictive maintenance insights, in-vehicle assistants, intelligent diagnostics, and automated workflows that enhance mobility, safety, and connected vehicle experiences.

Education

We build generative AI solutions for education, including adaptive learning assistants, content generation tools, and AI-powered support systems that create more personalised and scalable learning experiences.

Media & Entertainment

Our generative AI services for media and entertainment enable content creation, script assistance, personalisation engines, and creative automation tools that accelerate production and audience engagement.

Retail & eCommerce

Our generative AI solutions for retail support product content generation, personalised marketing, AI-powered customer support, and demand intelligence to improve engagement and drive growth.

Travel & Transport

We build generative AI solutions for travel and transport, including virtual travel assistants, dynamic itinerary generation, support automation, and intelligent route optimisation to improve customer experiences and operational efficiency.

Logistics & Supply Chain

We create generative AI solutions for logistics, including shipment communication automation, forecasting support, supplier collaboration tools, and intelligent workflows that improve operational efficiency.

  • Healthcare
  • Automotive
  • Education
  • Media & Entertainment
  • Retail & eCommerce
  • Travel & Transport
  • Logistics & Supply Chain

Why Choose Us  

Client-Oriented. On-Time Delivery

15+ years of experience 

Sphinx has completed 15 successful years in the industry by helping businesses with technology and digital transformation.

15+ industry experts

We have a dedicated and reliable team of experts in different roles, such as business administrators, project managers, coordinators, and so on.  

1500+ solutions delivered

We have successfully delivered 1500+ solutions to our clients through our results-driven approach, many of them being our recurring clients.  

200+ in-house resources

We have a dedicated in-house team of professionals who are experienced and skilled in their divisions.  

750+ happy clients

We are trusted by 750+ clients for providing the best-in-class innovative solutions at affordable rates.  

50+ million users love our work 

Our client-centric approach and high-calibre work that we provide by leveraging the latest technologies have made us stand a class apart.  

Top-Rated on Clutch

Read our verified client reviews and ratings on Clutch.

5.0 17 reviews

Top-Rated on GoodFirms

Explore our reviews, ratings, and portfolio on GoodFirms.

4.9 21 reviews

Discover what Generative AI can do for your business  Ready to build the next big AI product? 

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Team

faq

Frequently Asked Questions

RAG (Retrieval-Augmented Generation) retrieves answers from your documents in real time, while fine-tuning trains a model on your data to change its core behavior. RAG is faster and better for knowledge bases; fine-tuning is better for domain-specific tone, tasks, or specialized outputs.

The data required depends on your specific AI use case. For RAG-based solutions, existing documents, PDFs, websites, or knowledge bases are often sufficient. Fine-tuned AI models typically need high-quality, labeled training data. Our team performs a comprehensive data readiness assessment to identify gaps and determine exactly what data is needed for successful implementation.

Generative AI enhances business productivity by automating routine and time-consuming tasks, optimizing workflows, generating content, and providing intelligent insights for faster decision-making. By reducing manual effort and improving operational efficiency, it enables teams to focus on strategic initiatives, innovation, and higher-value work that drives business growth.

The ROI of a Generative AI solution can be measured through improvements such as reduced manual effort, faster content creation, lower support costs, fewer processing errors, and increased revenue from personalized customer experiences. At Sphinx Solutions, we work closely with businesses during the discovery phase to define clear KPIs and track measurable outcomes aligned with their goals.

The timeline for generative AI development varies based on factors such as project scope, feature requirements, data availability, third-party integrations, and model training needs. A basic AI solution may be completed within a few weeks, while more advanced, enterprise-grade applications with custom functionalities and complex workflows can take several months to design, develop, test, and deploy successfully.

The cost of generative AI development varies based on several factors, including project scope, the AI models used, integration requirements, customization levels, data complexity, and deployment environment. Since every business has unique goals and technical needs, we recommend contacting our team for a tailored consultation and a detailed cost estimate.