Generative AI Development Company
We cover the full solution lifecycle, from strategy and technical design through development, deployment, and ongoing optimization, helping organizations transform their business processes with generative AI solutions built with governance at their core. We work with leading proprietary and open-source foundation models—including GPT, Claude, Gemini, Llama, Mistral, and Grok—and select the most appropriate technologies based on each solution’s objectives, technical requirements, security needs, and governance considerations.
Trusted By Leading Enterprises
AI Experts
Software Products Delivered
AI Solutions
Total Years of Experience
Our Generative AI Development Services
Generative AI Consulting
We help you define a practical generative AI implementation strategy aligned with your business objectives. Our consultants analyze your enterprise context, identify AI opportunities, evaluate implementation feasibility and develop a roadmap with technology, data, integration, security, governance, and other operational considerations.
PoC and MVP Development
We develop PoCs and MVPs to validate generative AI use cases before full-scale implementation. We map target workflows, data, and system dependencies, then build and test early-stage implementations against real business scenarios. We assess technical feasibility, output quality, integration requirements, and business fit to refine the approach and define a clear path to production.
GenAI Solution Technical Design
We translate solution requirements into structured technical designs covering architecture, data flows, integrations, AI workflows, security, monitoring and governance considerations. Deliverables can include architecture diagrams, functional specifications, agent workflows, API specifications, user stories and implementation roadmaps.
Generative AI Solution Development
We develop governed generative AI solutions grounded in your enterprise data, business processes, enterprise policies, and operational requirements. These solutions can automate knowledge-intensive tasks, support research and analysis, generate and summarize content, assist decision-making, and streamline complex business workflows through natural-language interactions.
Multi-agent System Orchestration
We design and develop multi-agent systems in which agents can exchange context, delegate tasks, validate outputs, and coordinate actions through structured workflows. Our solutions support a range of capabilities, including agent-to-agent communication, human approvals, exception handling, cross-system workflow orchestration, and observability.
Generative AI Integration
The generative AI solutions we build seamlessly integrate with your existing enterprise systems, databases, document repositories and business workflows. Our approach accounts for system ownership and operational dependencies while addressing authentication, data contracts, latency, security, and exception handling to support reliable enterprise integration.
Security and Governance
We help establish governance across the AI lifecycle through defined ownership, access boundaries, approved models and tools, data policies, human approval points, and operational controls. We implement guardrails, role-based access, policy checks, exception and escalation paths, audit trails, and runtime controls to help ensure AI solutions operate within defined organizational, security, and compliance requirements.
Monitoring and Continuous Optimization
After deployment, we continuously monitor AI solution performance, including output quality, task execution, success and failure trends, response latency, token usage, costs, and errors. We use these insights to identify quality drift, performance bottlenecks, inefficient resource usage, and execution issues, while providing ongoing maintenance and optimization to keep solutions reliable.
Our End-to-end Approach to Generative AI Development
Use Case Analysis
We engage relevant stakeholders to capture the business objectives, operational workflows, system dependencies, data requirements, performance expectations, and governance considerations associated with the selected use case.
Solution Architecture Design
We translate the validated use-case context into a build-ready technical design covering solution architecture, workflows, data flows, integrations, security, user journey, monitoring, governance framework, and implementation roadmap.
Solution Development
Based on the technical design, our developers build generative AI solutions with built-in access controls, human approvals, operational safeguards, monitoring, auditability, escalation paths, and governance controls.
Evaluation
We test the solution for functionality, output quality, knowledge grounding, workflow execution, integration reliability, security, access controls, policy compliance, failure scenarios, and human-review requirements to ensure the solution is production-ready.
Deployment
We deploy the solution in the selected enterprise environment with monitoring, logging, version management, access controls, auditability, rollback capabilities, and runtime controls, built into the production setup.
Monitoring and Continuous Optimization
After deployment, we continuously monitor and optimize the solution based on performance, output quality, usage patterns, cost, errors and policy compliance. We also update models, prompts, workflows, integrations, and controls as business requirements and governance needs evolve.
How Our Generative AI Development Services Create Business Value
Enhanced Automation
AI agents and intelligent workflows can execute repetitive and knowledge-intensive tasks across applications, documents and enterprise systems, reducing manual intervention.
Increased Productivity
Generative AI solutions help employees fetch information, analyze documents, generate outputs, make decisions and complete workflows more efficiently.
Governed Innovation
Clearly defined access boundaries, approval requirements, monitoring controls and audit trails enable organizations to introduce AI capabilities while maintaining accountability and operational oversight.
Cost Optimization
Automating suitable tasks, reducing processing time and improving the use of enterprise knowledge can lower operational costs while maintaining service quality.
AI Models We Have Expertise In
GPT-5.6
Claude Opus 5
Gemini 3.6
Llama 4
Mistral
Grok
Our Generative AI Solutions Cater to a Wide Array of Industries
Banking and Finance
We build AI solutions for credit and lending operations, financial analysis, KYC and compliance workflows, regulatory reporting, treasury, accounting, customer service, and exception management, with human review and auditability incorporated into critical decisions.
Retail
Our developers build AI solutions for catalog enrichment, merchandising, pricing support, demand and inventory planning, customer service, returns, and marketing workflows, with appropriate review controls for customer- and supplier-facing actions.
Healthcare
We develop AI solutions for clinical and administrative documentation, enterprise information retrieval, patient information access, prior authorization, claims and revenue cycle workflows, research, and operational support, with appropriate privacy, access, oversight, and audit controls.
Supply Chain and Logistics
We build AI solutions for demand planning, procurement and supplier workflows, shipment and inventory operations, document processing, freight audit, exception resolution, and cross-functional coordination across enterprise supply chain systems.
Insurance
Our AI engineers develop AI solutions and agents for submission intake, underwriting support, claims processing, policy servicing, document analysis, compliance, customer communication, and exception handling, with defined approval paths for regulated decisions.
Travel
We build AI solutions for itinerary planning, booking assistance, customer service, disruption and exception handling, content operations, recommendations, and internal knowledge access, integrating them with existing travel systems and workflows.
Automotive
We develop AI solutions for engineering knowledge management, product development, quality and compliance documentation, warranty and service workflows, maintenance support, supplier coordination, and manufacturing operations.
Hospitality
We build AI solutions for guest messaging, reservation support, revenue management analysis, service request coordination, review management, employee knowledge access, and operational workflows, while retaining human oversight for sensitive guest and commercial decisions.
Real Estate
We develop AI solutions for lease abstraction, acquisition diligence, underwriting support, property and portfolio analysis, tenant service, document review, work-order triage, and investor reporting, with traceable outputs and defined approval responsibilities.
Manufacturing
We build AI solutions for engineering and operational knowledge management, maintenance and troubleshooting, production support, supplier documentation, quality management, EHS workflows, and exception handling, grounded in approved enterprise data and procedures.
Media and Entertainment
Our AI developers create solutions for content research and development, asset management, metadata enrichment, localization, audience analysis, and distribution workflows, with appropriate controls for creative, editorial, legal, rights, and safety reviews.
Legal
We build AI solutions for legal research, contract review and drafting, clause extraction, due diligence, matter intake, litigation support, compliance monitoring, and document management, with source grounding, access controls, and professional review.
Our Areas of Expertise
Generative Models
We have deep expertise in developing domain-specific models by fine-tuning foundation models, such as GPT-4 (Generative Pre-trained Transformer). This includes understanding the architecture, training processes, and applications of such models.
Natural Language Processing (NLP)
By leveraging our knowledge of NLP, we craft robust applications that handle tasks like text generation, sentiment analysis, text summarization, and translation.
Machine Learning
Our proficiency in diverse machine learning techniques, including supervised, unsupervised, and reinforcement learning, enables us to adapt and apply our AI solutions to a wide range of applications and address diverse business needs effectively.
Deep Learning
Our expertise in deep learning enables us to work with complex neural networks, implementing state-of-the-art algorithms, and tailoring customized solutions that help clients unlock the full potential of AI.
Data Collection and Annotation
Gathering and preprocessing large datasets is often a critical part of training generative models. We specialize in data collection and annotation to ensure high-quality training data.
Model Fine-tuning
We fine-tune pre-trained models, including GPT-4, for specific applications and domains. This expertise empowers us to construct highly adaptable solutions based on these models, catering to clients’ specific needs.
Our AI Development Technology Stack
Visualization tools
Modules/Toolkits
Programming Language
Frontend
Backend
Python Frameworks
Libraries
DL Frameworks
Cloud providers
Image Classification Models
VGG-16
ResNet50
Inceptionv3
EfficientNet
Embedding Models
OpenAI
bge-large
bge-base
e5-large
textembedding-gecko(Vertex AI)
Algorithms
Supervised/Unsupervised Learning
Clustering
Metric Learning
Fewshot Learning
Neural Networks
CNN
RNN
Representation Learning
Manifold Learning
Variational Autoencoders
Bayesian Network
Autoregressive Networks
Artificial Intelligence Case studies
AI development , GenAI development
LLM App for Wine Recommendation – Achieved a 60% increase in accuracy for personalized wine recommendations
AI development, GenAI development
AI-powered Medical Assistant – 2x faster decision-making
AI development, GenAI development
LLM-powered Application for Safer Machinery Troubleshooting – 50% reduction in search time
Alliances & Partners
We strategically collaborate with a diverse ecosystem of partners and platforms, ensuring unparalleled flexibility and swift outcomes while maintaining quality and excellence.
Our Artificial Intelligence Portfolio
LLM-powered Application for Safer Machinery Troubleshooting
LeewayHertz collaborated with a top-tier Fortune 500 manufacturing company to develop an innovative LLM-powered machinery troubleshooting application. This innovative solution streamlines machinery maintenance, elevates safety protocol adherence and mitigates operational risks of the firm. By seamlessly integrating static machinery data and dynamic safety policies, the application provides quick access to relevant information for troubleshooting issues while also enhancing safety with clear and detailed instructions on equipment handling.
Generative AI Application
LLM-powered App for Compliance and Security Access
Data Analysis
Geospatial Data Analysis
AdPerfect: AI-powered SaaS Platform for Advertisement Generation
Big Brands Trust Us
As Mentioned in
Our Engagement Models
Dedicated Development Team
Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.
Team Extension
Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.
Project-based Model
Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.
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FAQs
What are some common applications of generative AI?
Generative AI can also power AI agents that interact with data, tools and enterprise applications to complete defined tasks.
What generative AI development services does LeewayHertz offer?
What types of generative AI solutions does LeewayHertz develop?
Depending on the use case, these solutions can retrieve and synthesize enterprise knowledge, coordinate multi-step tasks, interact with approved systems and tools, automate workflows, support human decisions, and operate within defined access, approval, monitoring, and audit controls.
How does LeewayHertz approach a project?
Our team then designs, develops, integrates and tests the solution before deployment. Governance, security, monitoring and human oversight requirements are addressed throughout the development lifecycle.
How does LeewayHertz develop technical designs for GenAI solutions?
Does LeewayHertz offer generative AI integration services?
The integration design takes into account authentication, access permissions, data contracts, security, latency, system dependencies, exception handling, monitoring, and the operating requirements of connected systems.
Does LeewayHertz offer post-deployment support?
Depending on the solution, this may include updates to models, prompts, retrieval configurations, workflows, integrations, and governance controls, informed by output quality, task execution, latency, token usage, costs, errors, and evolving business requirements.
Why choose LeewayHertz as your generative AI development company?
- We support the complete solution lifecycle, from use-case analysis and technical design to development, integration, deployment, monitoring, and continuous improvement.
- We develop custom generative and agentic AI solutions aligned with enterprise workflows, data environments, systems, and governance requirements.
- We incorporate access controls, approval points, guardrails, monitoring capabilities, operational oversight, and auditability throughout the solution lifecycle.
- We work across leading foundation models, orchestration frameworks, cloud environments, and deployment approaches, selecting the appropriate stack for each use case.
- We bring over 15 years of software development experience and have worked with startups, enterprises, and Fortune 500 companies.
Explore Our Services
Insights
AI in S&OP: Processes and Use Cases Across the Operating Model
AI is changing S&OP by helping teams turn fragmented demand, supply, inventory, product, and financial inputs into evidence-rich review packets for each planning gate.
GenAI in Investment: Streamlining Advisory, Portfolio, and Compliance Workflows
Investment is a prime domain for generative and agentic AI because workflows intersect client records, research documents, portfolio data, regulatory requirements, exceptions, and operational handoffs.
Generative AI in High-Tech Manufacturing: Operating Model, Use Cases, Governance, and Future Trends
In high-tech manufacturing environments, generative and agentic AI can interpret, synthesize, and generate structured outputs from technical and operational information.
