AI Development Services

We build AI solutions aligned to your business goals, engineered for production, integration, and scalability in enterprise environments.

ACCELERATE AI DEVELOPMENT WITH CONFIDENCE

Turn AI priorities into secure, scalable systems built for the realities of your enterprise. Our end-to-end AI
development services align every solution to measurable business goals, enterprise architecture, user workflows, and regulatory requirements.

Whether you are launching your first AI use case or scaling an established portfolio, we help you select the right models, build the right controls, integrate AI into existing systems, and prepare teams for adoption. The result is production-ready AI that performs reliably, fits how your organization operates, and can evolve as your business, data, and compliance needs change.

Our AI development services

Custom AI application development

Maximize value and ROI by developing AI applications optimally aligned with your operational, business, and compliance needs and goals, while enabling smooth AI adoption.

Machine learning model development

Strategically transform your business with purpose-built ML models trained on your proprietary data and embedded with robust explainability and data-governance controls.

Generative AI, LLM & RAG development

Enhance productivity and decision-making by developing GenAI solutions grounded in your enterprise knowledge and context via RAG, powered by LLMs fine-tuned on your data.

AI agents & copilot development

Enable complex automation and data-driven decision-making with co-pilots designed for your internal processes. Scale and improve customer service with tailored AI agents.

Computer vision engineering

Automate critical visual inspection tasks, extract data and insights from images or videos with AI’s computer vision capabilities to enhance business functions like security.

Natural language processing

Automate, accelerate, and scale business functions by unlocking the value of your unstructured data with tailored NLP solutions, powering insights and decision support.

AI workflow automation

Reduce manual burden, human errors, and streamline scaling of business processes with smart and adaptive AI-powered automation, while facilitating better decision-making.

MLOps, observability & governance

Reduce AI risk with observability and governance controls built into the architecture. Streamline continuous improvement with MLOps designed for evolving AI needs.

AI integration & orchestration

Enhance AI performance and alignment with integration planned from the design stage. Build resilient agentic AI systems with orchestration that adapts to your changing needs.

AI evaluation, testing & assurance

Validate and assure AI systems against business, quality, security, and compliance requirements with continuous testing to improve performance and reduce risk.

Outcomes we've delivered

Reduced matching time to 4 minutes

Facial-recognition matching achieved 94% accuracy with four-minute processing time.

99% automated item detection accuracy

Computer vision reduced property appraisal timelines from days to hours.

Hours saved daily through AI automation

LLM-powered virtual agent automated information retrieval for finance teams.

80% reduction in platform costs

AI-enabled authorization platform reduced ownership costs and processing timelines.

Why enterprises choose 10Pearls for AI development

Outcome-driven AI development

Build value-aligned AI solutions that reduce risk, optimize cost, and deliver measurable outcomes tied to specific business KPIs.

AI-accelerated engineering & QA

Accelerate time to value with AI-augmented engineering teams, streamlined development workflows, and automated QA and testing.

Built for enterprise workflows

Design AI solutions for the operational complexity and scale of enterprise environments, backed by 20+ years of enterprise delivery experience.

Security & compliance embedded

Embed security and governance controls into architecture to make AI systems observable, auditable, and policy controlled.

Continuous AI operations & optimization

Sustain performance, quality, and scalability as needs evolve, minimizing drift through continuous monitoring, governance controls, and ongoing improvement.

Risk-matched AI architecture

Minimize adoption, governance, and business-alignment risks with architecture guided by comprehensive risk modeling.

Our proven AI development process

Our AI development services are flexible and adaptable to client needs, goals, and resources.

1. Outcome, feasibility & risk alignment

Our AI development process starts with aligning AI to your business goals, comprehensive feasibility analysis, use case identification, and risk modeling across both AI governance and industry-compliance dimensions.

2. Design data, architecture & controls

We identify and evaluate data sources for completeness, develop pipelines for batch and real-time availability, reconfigure existing data architecture for AI based on gap analysis, and design data and compliance controls.

3. Build, evaluate & assure

AI solutions are developed using retrained or fine-tuned foundation models, or purpose-built custom models. Each solution is then evaluated and tested for performance, scalability, reliability and operational integration.

4. Deploy into enterprise workflows

Deployment takes place within the target environment, with AI integrated into existing systems, processes and workflows while minimizing disruption and removing potential performance bottlenecks.

4. Govern, monitor & improve

Post deployment, we monitor the model for concept and data drifts and optimize AI systems as the original parameters and requirements change. This enables continuous improvement, governed operations, and business-aligned evolution.

Our industry-specific AI development expertise

We can develop AI systems, applications, and solutions for a wide range of use cases (ranging from experimental to mature) for several industries. Our industry-specific AI development expertise includes:

Healthcare

  • EHR management systems
  • Diagnostic assistance
  • Administrative automation
  • Healthcare AI agents
  • Decision support systems

Finance

  • Fraud detection
  • Personalized core banking
  • Credit management
  • Compliance automation
  • Virtual assistants and robo-advisors

Edtech

  • Adaptive/personalized learning
  • Assessments and testing
  • Content creation
  • intelligent LMS
  • AI tutors

Retail

  • Hyper-personalized shopping experience
  • Inventory management
  • Dynamic pricing
  • Sentiment analysis
  • Customer service agents

Logistics

  • Smart routing
  • Predictive maintenance of fleets
  • Supply chain optimization
  • Dynamic pricing and scheduling
  • Warehouse automation

Telecom

  • Core system modernization
  • Billing accuracy and revenue assurance
  • Network optimization
  • Predictive maintenance
  • Fraud detection

You are in great company

AI development success stories

case study - HEALTHCARE

Building a Clinical-Grade AI Platform for GLP-1 Weight Care

Designing and building a HIPAA-aligned platform that pairs a patient app and clinician portal with a dual-pipeline clinical AI.

Personalized care with dual-pipeline clinical AI
Safer clinical decisions with human-in-the-loop
Read case study →
Building a Clinical-Grade AI Platform for GLP-1 Weight Care

case study - artificial intelligence

Agentic AI Financial Assistant

Optimizing financial operations with an AI-powered smart assistant designed to automate workflow and enhance decision-making.

Improved scalability
Increased operational efficiency
Read case study →
Agentic AI Financial Assistant

case study - artificial intelligence

Automated Object Detection System

Streamlining property appraisals with an AI-driven platform that automates image analysis and object detection for greater speed and precision.

Accuracy in image detection reached
Reduced approval times & manual review
Read case study →
Automated Object 
Detection System

Case study - legal services

Accelerating Critical Business Workflows with AI Automation 

Improving speed, consistency, and risk control in a high-volume legal workflow through AI-powered automation. 

5 hours saved per run for each attorney 
4-min runtime from intake to delivery 
Read case study →
Accelerating Critical Business Workflows with AI Automation 

case study - ARTIFICIAL INTELLIGENCE

Healthcare Support Platform with Agentic AI

10Pearls developed an agentic AI virtual assistant designed to enhance caregiver support through multilingual support, sentiment analysis, and a sophisticated knowledge management system.

Enhanced UX with AI
Improved accessibility
Increased scalability
Read case study →
Healthcare Support Platform with Agentic AI
Building a Clinical-Grade AI Platform for GLP-1 Weight Care
Agentic AI Financial Assistant
Automated Object Detection System
Accelerating Critical Business Workflows with AI Automation 
Healthcare Support Platform with Agentic AI
Building a Clinical-Grade AI Platform for GLP-1 Weight Care
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Our AI Readiness Assessment evaluates your strengths and opportunities across five key areas to guide your next steps in AI implementation.


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FAQs about AI development services with 10Pearls

How long does AI development typically take?

It depends upon AI requirements, model choice, system complexity, regulatory dimensions, and development approach of the AI development services company. We leverage agile processes and rapid prototyping to expedite development.

Yes, if it’s agreed upon in the support contract. The cadence of monitoring (24×7 or weekly/monthly) and updates (real-time, monthly, ad hoc, etc.) depends upon various business and system-related factors.

Our extensive development experience and an understanding of business rules, industry regulations, legacy systems, and siloed operations allow us to develop an optimal integration approach for each AI system and client.

As an ISO 27001-certified firm, we have established procedures to embed conventional, industry, and AI-specific data security measures within system layers. We also add them to connectors, middleware, and APIs to expand the security posture to existing systems.

The process varies based on the model type, available data sets, model goals, and, in some cases, regulatory thresholds. We prepare an optimal dataset, select relevant metrics, and set realistic accuracy thresholds before validation.

We identify all relevant risk dimensions across compliance, security, ethics, governance, operations, reputation, and market positioning. Then we establish hard constraints and broad guidelines for all development stages – from ideation to integration.

You might consider an MVP or a targeted, small-scale AI integration with measurable outcomes to evaluate challenges, impact, and ROI. 10Pearls can help you evaluate scalability roadblocks, determine viability, and develop a maturity roadmap if needed.

Your AI project will be handled by cross-functional, culturally and operationally aligned, dedicated teams with all relevant AI and project management expertise. The team is carefully selected, and profiles of each member are shared with you.

Let’s discuss your AI development goals

Map out a clear path from AI adoption to production-ready AI systems in a discovery session.

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