AI Development Services

Custom AI Development for Web, Mobile and Enterprise Applications

Srishta Technology builds AI-powered software, LLM-based applications, RAG systems, computer vision solutions, document intelligence tools and AI features for web platforms, mobile apps and enterprise workflows.

AI product blueprintProduction flow

Product UI

Business Logic

AI Orchestration

Models + RAG

Data Sources

Cloud + Monitoring

Guardrails

Validation + fallback

APIs

Secure integrations

Logs

Quality improvement

AI + Product

AI features planned around real software journeys, not isolated demos

LLM + RAG

Knowledge systems, document assistants and business copilots

Vision + OCR

Image, video and document-heavy workflows for practical use cases

Cloud Ready

APIs, monitoring, logging and deployment support for production

AI product development

Build AI features as part of real products, not isolated demos.

This page introduces Srishta Technology’s complete AI development capability. Visitors can start here, understand what we build, and then explore the focused service page that matches their requirement.

Add AI to an existing product

Add summaries, chat, search, OCR, recommendations or assistant features into a current web app, mobile app, CRM, admin panel or backend.

Build a new AI product

Create a new AI-powered SaaS, internal platform, customer app or vertical solution where AI is part of the core product experience.

Create an AI backend layer

Develop AI APIs, background jobs, model orchestration, document pipelines and integration services that other products can use.

Move a prototype to production

Turn a working demo into a secure, monitored and maintainable AI system with real data, permissions, fallback rules and usage tracking.

Explore AI development capabilities

AI services we build and connect together

Choose the AI capability that fits your product or business goal. Each service connects to a focused page with deeper details, examples and implementation approach.

Business adoption

AI Implementation

For businesses that want to understand where AI fits, what to automate and how to move from idea to a working system.

✓AI roadmap
✓Workflow fitment
✓System integration
✓Launch planning

Explore AI Implementation

Task-focused agents

Custom AI Agent Development

Build agents that can answer, retrieve, reason through a task and take controlled actions using APIs or internal tools.

✓Support agents
✓Sales agents
✓Tool calling
✓Human approval

Explore Custom AI Agent Development

Internal teams

Enterprise AI Assistants

Create secure assistants for employees, departments and leadership teams using company knowledge and role-based access.

✓HR assistant
✓Operations assistant
✓Executive reporting
✓Knowledge support

Explore Enterprise AI Assistants

Process automation

AI Workflow Automation

Automate repetitive business tasks with AI, triggers, approval steps, integrations and reliable fallback rules.

✓Ticket routing
✓Lead qualification
✓Document review
✓CRM updates

Explore AI Workflow Automation

Knowledge AI

RAG Knowledge Assistants

Answer questions from PDFs, policies, SOPs, websites, databases and internal knowledge with source-grounded responses.

✓Document search
✓Vector retrieval
✓Citations
✓Access control

Explore RAG Knowledge Assistants

Model integration

Custom LLM Integration

Integrate OpenAI, Claude, Gemini or open-source models into your app, CRM, dashboard or backend workflow.

✓LLM APIs
✓Prompt workflows
✓Model routing
✓Cost controls

Explore Custom LLM Integration

Customer experience

AI Chatbots / Virtual Assistants

Build chat assistants for websites, apps, support, onboarding and sales flows with business-aware answers.

✓Website chatbot
✓Support assistant
✓Lead capture
✓App assistant

Explore AI Chatbots / Virtual Assistants

Image and video AI

Computer Vision Development

Develop AI systems that understand, classify, enhance or inspect images and video for product and business workflows.

✓Image analysis
✓Object detection
✓Visual inspection
✓Media processing

Explore Computer Vision Development

Document AI

OCR & Document Intelligence

Extract, classify and validate data from invoices, forms, IDs, prescriptions, reports and operational documents.

✓OCR extraction
✓Field mapping
✓Human review
✓Structured output

Explore OCR & Document Intelligence

Knowledge management

AI Knowledge Base

Build a centralized AI knowledge base that organizes business information for semantic search, AI assistants, and trusted enterprise answers.

✓Knowledge organization
✓Semantic search
✓Source citations
✓Content governance

Explore AI Knowledge Base

Production AI

AI Model Deployment

Deploy commercial or open-source models with APIs, monitoring, usage limits, logging and cloud infrastructure planning.

✓Inference APIs
✓Model serving
✓Monitoring
✓Cloud/GPU setup

Explore AI Model Deployment

Private or controlled AI

Open-Source AI Models

Use open-source models where privacy, cost control, customization or deployment ownership is important.

✓Model selection
✓Private deployment
✓Fine-tuning support
✓Performance review

Explore Open-Source AI Models

Core development services

What we develop under AI Development

Model integration, data pipelines, product UI, backend APIs, deployment and quality controls.

LLM Application Development

We build LLM-powered applications for chat, search, drafting, summaries, business assistance and product-specific workflows.

✓Prompt flows designed around real user journeys
✓Tool calling and API-connected actions where needed
✓Structured outputs for apps, CRMs and dashboards
✓Fallback paths when the model is unsure or context is missing

RAG System Development

We create retrieval-based AI systems that answer from your documents, website, database or internal knowledge base.

✓Document ingestion, chunking and indexing pipelines
✓Vector search and hybrid retrieval planning
✓Source-grounded answers for trust and review
✓Role-based access for private or department-specific data

Computer Vision & Image AI

We develop workflows that analyze, classify, enhance or understand images and visual inputs in business processes.

✓Image classification and visual analysis
✓Image enhancement, restoration and upscaling
✓Healthcare, quality review and media-processing use cases
✓Integration with cloud storage, apps and backend systems

OCR & Document AI

We help teams extract and organize information from invoices, forms, prescriptions, reports, IDs and operational files.

✓OCR extraction and field mapping
✓Document classification and routing
✓Human review screens for low-confidence results
✓Structured output for databases, CRMs and admin workflows

AI APIs & Backend Modules

We build the backend layer that connects AI models with business logic, authentication, permissions and user actions.

✓AI orchestration APIs for product teams
✓Authentication, rate limits and role-based behavior
✓Background jobs for batch AI processing
✓Logging, retries and cost-aware request handling

Model Integration & Deployment

We help select, integrate and deploy model-based features in a setup that can be maintained after launch.

✓Commercial AI API integration where practical
✓Open-source model deployment where control matters
✓Cloud, GPU and inference endpoint planning
✓Latency, usage and cost review before launch

AI Maturity

From AI demos to production-ready systems

Basic AI demo

✓Works on sample prompts
✓Often disconnected from real data
✓No clear permissions
✓No monitoring or fallback
✓Difficult to operate after launch

Production-ready AI system

✓Connected with real product workflows
✓Uses approved data sources
✓Supports roles and access control
✓Includes logging, fallback and review
✓Designed for improvement after launch

Development process

From use case to production-ready AI feature

We keep the process practical so the final AI system can be used by real users, monitored by your team and improved after launch.

Map the product requirement

We understand the user journey, data sources, existing systems, expected output and business outcome before choosing a model or architecture.

Choose the right AI approach

We decide whether the product needs LLM integration, RAG, OCR, computer vision, model deployment, workflow automation or a hybrid setup.

Design data and integration flow

We plan how documents, databases, files, APIs, user permissions and review screens will safely work with the AI layer.

Build the AI product layer

We develop UI screens, backend APIs, orchestration logic, model calls, admin controls and integration points around the AI feature.

Test quality and edge cases

We test real examples, incorrect inputs, permissions, response consistency, fallback rules, latency, cost and user experience.

Deploy and improve

We launch with monitoring, logs, feedback capture, usage limits and a clear improvement loop instead of leaving the feature unmanaged.

Architecture

AI development architecture blueprint

A maintainable AI product needs more than a model call. It needs product experience, backend logic, data access, quality checks and operational monitoring.

User Experience Layer

Web app, mobile app, admin dashboard, chat interface, customer portal or internal workspace.

Application Layer

Business rules, workflows, permissions, approvals, notifications and product-specific logic.

AI Orchestration Layer

Prompt logic, model routing, RAG retrieval, tool calling, validation, fallback and output formatting.

Data Layer

Documents, images, forms, database records, CRM data, website content, files and operational history.

Deployment Layer

APIs, queues, cloud hosting, monitoring, logs, usage limits, cost control and continuous optimization.

Quality and governance

Controls that make AI safe to operate

For serious products, AI quality is not only about a good answer. It is about permissions, review, fallback, cost, logs and improvement.

Clear input and output rules for each AI feature

Fallback behavior when the model is unsure or data is missing

Human review for sensitive medical, financial or operational workflows

Role-based access for private documents and internal data

Logging for requests, errors, user feedback and AI usage cost

Testing with real business examples, not only sample prompts

Monitoring and improvement plan after launch

Data handling decisions aligned with the sensitivity of the use case

Industry use cases

Practical AI development by industry

The best AI features are built around a specific workflow, user and business outcome.

Healthcare

Explore →

AI consultation summaries, patient intake support, prescription workflows, lab report handling and internal knowledge assistants.

Finance

Explore →

Document extraction, report preparation, risk signals, reconciliation support and finance workflow automation.

Retail & Ecommerce

Explore →

Product discovery, recommendation logic, customer support assistants, catalog enrichment and personalization workflows.

Education

Explore →

Learning assistants, content summaries, assessment support, student query handling and searchable training material.

Operations

Explore →

Task summaries, ticket routing, document review, approval support and internal process automation.

Media & Content

Explore →

Content classification, moderation support, summaries, tagging, image enhancement and content discovery.

Technology

Technology stack we work with

We select the stack based on privacy, latency, cost, accuracy, integration needs and deployment model.

Models & LLMs

OpenAIClaudeGeminiOpen-source LLMsEmbeddingsPrompt workflows

RAG & Search

Vector databasesHybrid searchChunkingKnowledge indexingSource referencesDocument refresh

Backend Engineering

PythonFastAPINode.jsJava Spring BootREST APIsPostgreSQLRedis

Vision & Documents

OCRComputer visionImage processingDocument extractionClassificationSummarization

Cloud & DevOps

AWSAzureGoogle CloudDockerCI/CDMonitoringLogging

Product Interfaces

Web appsMobile appsDashboardsChat UIsInternal portalsAdmin panels

Relevant experience

AI and digital product experience that supports this service

Use real project categories here so the page feels grounded and credible instead of generic.

Healthcare digital platform

AI-generated consultation summaries, digital prescriptions, lab booking and patient workflow support.

AI image enhancement

Image quality improvement, upscaling and restoration flows for media-heavy user experiences.

Content and news platform

Personalized content delivery, backend workflow planning and scalable platform engineering.

Analytics and trading platform

Algorithm-based workflows, dashboards, data processing and advanced business logic.

Start with clarity

Discuss your AI product or feature

Share what you want to build, improve or automate. We will help you identify the right AI approach, required data, technical risks and next development step.

Good details to share before the call

✓Existing product or app link
✓Data sources or document types
✓Expected AI output
✓Users and roles
✓Timeline and priority
✓Any privacy or compliance concern

FAQ

Custom AI agent development FAQs

We build LLM applications, RAG systems, AI-powered app features, OCR workflows, computer vision systems, document intelligence, AI APIs, admin assistants and production-ready AI modules for existing or new software products.

AI Development focuses on building the actual AI-powered software, APIs, models, modules and product features. AI Implementation focuses on applying AI inside business workflows, operations and existing tools.

Yes. We can add AI chat, document search, summarization, OCR, recommendations, extraction or assistant features into existing websites, mobile apps, dashboards and backend platforms.

We choose the model approach based on use case, cost, privacy, latency and deployment needs. Some projects work best with commercial APIs, while others need open-source or privately deployed models.

Yes. We build RAG systems that use PDFs, websites, policies, SOPs, manuals, databases and internal files to provide source-grounded answers inside apps or internal portals.

Yes. We can support API deployment, cloud hosting, monitoring, logging, usage tracking, security setup and post-launch improvements.

Build with the right AI architecture

Create AI features that fit your product, data and business workflow.

From LLM apps and RAG systems to computer vision, OCR, AI APIs and model deployment, Srishta Technology can help you build practical AI software for real users.