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
Maximize AI’s impact on your business by strategically mapping its capabilities to your business goals. We provide AI development
services that are grounded in your business realities to ensure value alignment and seamless integration. Our end-to-end, compliance-first
AI development results in frictionless AI implementation, regardless of internal AI maturity.
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 design & training
Strategically transform your business with purpose-built ML models trained on your proprietary data and embedded with robust explainability and data-governance controls.
LLM fine-tuning & integration
Align optimal use cases and LLMs fine-tuned on your data for accurate responses, compliant interactions, performance efficiency, and frictionless workflow integration.
AI agents & co-pilot 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 & speech recognition
Automate, accelerate, and scale business functions by unlocking the value of your unstructured data with tailored NLP solutions, powering insights and decision support
AI-powered process 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 & scalable AI infrastructure engineering
Enable seamless AI integrations, modifications, and scaling with MLOps designed for your AI needs and data architecture. Build adaptive AI infrastructures for continuous improvement.
AI systems integration
Modernize legacy systems, enhance process efficiency, and maximize performance of AI systems with strategic integration and frictionless incorporation into existing workflows.
Why enterprises choose 10Pearls for AI development
Enterprise-ready AI expertise
We deliver smooth AI implementations with enterprise-grade capabilities and experience integrating AI into complex, regulated environments.
Outcome-focused development
Build value-aligned AI systems that deliver measurable outcomes tied to efficiency, cost optimization, and risk reduction.
Agile & transparent delivery
Agile delivery combined with structured governance ensures alignment across technical and business stakeholders.
Responsible AI development
Develop well-governed AI systems with embedded explainability, compliance controls, and responsible design practices.
Focus on scalability
Engineer production-ready AI architectures designed for reliability, performance, and long-term evolution in enterprise environments.
Faster time-to-value
Accelerate value realization through iterative development and controlled enterprise-scale deployment.
Security & compliance embedded
Embed security and governance into architecture and development, supported by our ISO 27001–certified security framework.
Post-deployment partnership
Support long-term AI performance with monitoring, optimization, and lifecycle management aligned to evolving needs.
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.
Our proven AI development process
Our AI development services are flexible and adaptable to your needs, goals, and resources. We modify our approach to fit your preferred collaboration, oversight, and communication model.
1. Requirements & feasibility analysis
Our AI development process starts with AI and business requirement evaluation, use case identification, comprehensive feasibility analysis, and viability testing of the proposed AI system.
2. Data preparation & modeling
We prepare and structure your data for AI by ensuring quality, establishing scalable pipelines, addressing compliance requirements, and selecting the optimal model for your use case.
3. Model development, testing & validation
We retrain or fine-tune existing models or develop new models, train, validate, and test them for pre-determined performance parameters within their real-world deployment scenarios.
4. Deployment & system integration
We deploy AI systems in the target environment and integrate them with existing systems, workflows, and processes with minimal disruption, while removing potential AI bottlenecks.
5. Monitoring, optimization & support
Post-deployment, we monitor the AI model for conceptual and data drifts and optimize AI systems as the original parameters and requirements change, enabling business-aligned evolution of AI systems.
Our industry-specific AI development expertise
Even if you belong to a different industry, feel free to reach out. We offer custom development services to businesses from a much wider range of industries than the ones highlighted here.
- EHR management systems
- Diagnostic assistance
- Administrative automation
- Healthcare AI agents
- Decision support systems
- Fraud detection
- Personalized core banking
- Credit management
- Compliance automation
- Virtual assistants and robo-advisors
- Adaptive/personalized learning
- Assessments and testing
- Content creation
- Intelligent LMS
- AI tutors
- Hyper-personalized shopping experiences
- 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
- Core system modernization
- Billing accuracy and revenue assurance
- Network optimization
- Predictive maintenance
- Fraud detection
Amplify your capabilities with tailored AI systems
Built to drive growth and future-proof your business.
You are in great company
AI development success stories
Start building your AI strategy
Our AI Readiness Assessment evaluates your strengths and opportunities across five key areas to guide your next steps in AI implementation.
Insights
AI/ML
Explore what truly drives value in AI-augmented engineering
AI boosts engineering productivity in routine tasks, but real impact depends on strong architecture, clear strategy, and thoughtful implementation.
AI/ML
Shifting teams to orchestrate AI-first software delivery
AI shifts development bottlenecks and introduces context engineering, enabling smarter workflows, leaner teams, and improved productivity.
AI/ML
Implementing governance-driven enterprise AI frameworks
Enterprise AI agent frameworks enable scalable, secure multi-agent systems that automate workflows while maintaining governance and compliance.
AI/ML
Unlock speed & innovation with generative AI for product development
Leverage the capabilities of generative AI for product development acceleration, cost optimization, and streamlining the entire development cycle.
AI/ML
What is Agentic Commerce: The Future Competitive Edge in Retail
Discover what Agentic Commerce is, how it transforms e-commerce, its key stakeholders, and strategies for retailers to gain a new competitive advantage.
AI/ML
Learn how to scale enterprise AI projects past the pilot stage
Explore why so many enterprise AI projects fail—and how to build the strong, often-overlooked foundation needed to move from pilot to production successfully.
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.
Do you provide post-deployment monitoring and updates?
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.
Can you integrate AI into complex enterprise environments?
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.
How do you ensure data security?
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.
What’s your process for validating AI model accuracy
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.
What measures do you take to manage risk in AI development?
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.
What if my organization isn’t ready to scale AI yet?
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.
What kind of teams will work on my project?
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.