Train & deploy AI Systems
for Production

Build and deploy enterprise-ready AI systems with human expertise, modern data architecture, and production engineering.

Why enterprise AI projects stall and how to fix it

Most enterprises aren’t blocked by models. They’re blocked by data readiness, integration complexity, and execution risk.

Andela closes that gap. We help organizations:

1
Data Readiness for AI
Train AI systems with human-in-the-loop expertise
2
AI Model Alignment
Align AI models to enterprise workflows and constraints
3
Enterprise AI Retrieval
Unlock enterprise knowledgefor AI systems
3
AI in Production
Deploy AI systems into production workflows

Powered by the world’s largest supply of AI engineers

Andela’s AI solutions are powered by the world’s largest, continuously trained supply of AI talent— organized into cohorts and delivery pods that can be deployed immediately to design, build, and scale production-grade AI systems.

Builders
9,000+

Turn business requirements into working LLM, RAG, and agentic components.

Scalers
4,500+

Connect models, data, and tools into multi-step autonomous agentic workflows.

Integrators
5,200+

Ensure AI systems operate reliably at scale, managing compliance, governance, and risk.

Data Readiness for AI

Train AI systems with human-in-the-loop expertise

We provide structured, domain-aware human expertise to ensure models are accurate, aligned, and production-ready.

AI data ingestion & preparation

Prepare enterprise data for AI by structuring, migrating, and optimizing it for modern AI workloads.

Legacy data assessment and AI readiness planning
ETL/ELT pipeline engineering across modern data platforms
Schema design and data quality optimization for AI workloads
Data annotation & enrichment

Structure and label datasets so models can retrieve, interpret, and learn from them.

Semantic tagging and taxonomy development
Data classification and labelling at scale
Data quality assessment and gap analysis
Data governance & compliance for AI

Ensure enterprise data is secure, auditable, and compliant so AI systems can be trusted in production.

Evaluation datasets tied to business KPIs
Access controls and compliance guardrails
Metadata management, data lineage, and auditability
AI MODEL ALIGNMENT

Align AI models to enterprise workflows & constraints

Adapt foundation models into domain-specific, production-ready AI systems through fine-tuning, alignment, and continuous evaluation.

Domain-specific model fine-tuning

Adapt foundation models using enterprise data so they perform reliably within your business workflows.

Supervised fine-tuning on enterprise task datasets
Instruction tuning aligned to business workflows
Domain adaptation for regulated and specialized industries
Reinforcement learning & human feedback

Align model outputs with enterprise objectives through structured feedback and reinforcement learning systems.

RLHF pipeline design and implementation
Reward modelling aligned to enterprise objectives
Output ranking and hallucination reduction
Continuous model evaluation & optimization

Continuously evaluate and improve model performance as enterprise data, users, and workflows evolve.

Automated evaluation and regression testing
A/B testing across model versions and prompts
Drift detection and performance monitoring
ENTERPRISE AI RETRIEVAL

Unlock enterprise knowledge for AI systems

Design and deploy AI retrieval architectures that make enterprise knowledge accessible, secure, and production-ready.

Enterprise AI retrieval architecture

Design and deploy end-to-end retrieval systems that make enterprise knowledge accessible to AI applications.

End-to-end RAG systems (vector databases, embeddings, indexing)
Structured and unstructured document ingestion pipelines
Hybrid search architecture (keyword + semantic)
AI knowledge access & governance

Ensure enterprise knowledge is accessed securely, with full auditability and compliance.

Role-based access control integrated into retrieval layers
Document-level permissions and audit logging
PII redaction and compliance-aware data filtering
Retrieval performance & optimization

Continuously improve retrieval accuracy, relevance, and performance for production AI systems.

Embedding strategy and vector index optimization
Query rewriting and context window optimization
Continuous retrieval evaluation and relevance monitoring
AI in Production

Deploy AI systems into 
production workflows

Move AI beyond pilots by embedding it into customer experiences and employee workflows that drive measurable outcomes.

Production AI engineering

Refactor and harden prototype AI systems into scalable, production-grade services.

Refactor prototype AI systems into production-grade services
Implement automated testing, evaluation, and guardrails
Build CI/CD pipelines for model and prompt deployments
Agentic systems & AI infrastructure

Deploy scalable AI agents and orchestration frameworks that automate enterprise workflows.

Scalable inference and agent orchestration infrastructure
Workflow automation and tool integration frameworks
Monitoring, governance, and failover for autonomous systems
AI governance & deployment systems

Ensure AI systems are governed, auditable, and deployable across the enterprise.

Model governance and risk review processes
Audit logging and compliance controls
Repeatable AI rollout frameworks across business units
Agentic customer support

Resolve customer issues instantly with AI agents that automate service workflows and escalate complex cases.

Multi-turn conversational agents with memory and context
Integration with CRM, ticketing systems, and knowledge bases
Continuous learning from human agent resolutions
AI-powered customer triage & routing

Route, prioritize, and coordinate customer interactions intelligently across channels and systems.

Intent detection and conversation routing across channels
Priority scoring & smart routing to specialized teams or agents
Context sharing across chat, voice, and support platforms
AI-driven customer experiences

Embed AI into digital products to personalize journeys and guide customer decisions in real time.

AI-powered product discovery and search
Personalized recommendations and decision guidance
Real-time experience personalization across digital journeys

Why F500 companies choose Andela to build production AI

Enterprise AI systems built by globally distributed engineering
teams with proven delivery at scale.

AI talent ecosystem

17,000+ certified AI-native technologists, ready to build and deploy production systems.

Proven AI delivery

Delivery frameworks designed to move AI from prototype to production.

Enterprise AI experience

AI systems deployed for 650+ enterprises across regulated and high-stakes industries.

Embedded transparency

Embedded delivery rituals, shared metrics, and full execution visibility.

How enterprises build
AI infrastructure with Andela

3X
Reduced resolution times

Resolving 100K Tickets with AI-Powered Zendesk

80%
Database uptime boost

GoPuff Boosts Uptime with Azure Flex & HA Postgres

33%
Faster project delivery

SoFi Powers AI-Driven Risk Intelligence