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Build and scale AI across the enterprise

From AI-ready foundations to production deployment.

Data-readiness for AI
Modernization & migrations
Enterprise AI retrieval
Agentic AI in production
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4.7
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329 reviews

Trusted by tech leaders

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“We have a blended team from Europe, Kenya, Brazil, India, and North America. They integrated with our teams seamlessly — and helped us deliver better solutions, faster."

Kathy Rudy
International Service Group
Chief Data and Analytics Officer
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“It has become clear who our top tier vendors in terms of quality and partnership are, and it is not doubt Andela is at the top of that list.”

Aaron Moskowitz
Goldman Sachs
VP of Data Engineering
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“With Andela, we’ve broken down geographical borders to find talent where and when we need it — resulting in cost savings and building solutions faster than ever before.”

Mark Schaefer
GitHub
Sr. Director of Worldwide Partners
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"Together, we’ve built LLMs,  supercomputers, and GenAI —  bringing outcomes to our users faster. We don't look at Andela as a vendor, it's a true partnership.”

Wendy Frazier
The Weather Channel
Former CTO
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Data Readiness for AI

Prepare your data to power AI across the enterprise

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
Illustration of a data ingestion process funnel with icons representing different data sources flowing into a central database symbol.
MODERNIZATION & MIGRATIONS

Move critical systems to modern, AI-ready platforms

Upgrade the applications, platforms, and tooling your business depends on for greater scalability and AI-enabled development.

Application modernization

Modernize legacy applications and architectures to improve scalability, maintainability, and readiness for AI-enabled development.

Legacy application and architecture assessment
Refactoring and replatforming of critical applications
Modern API, microservices, and cloud-native architecture
Cloud & platform migration

Move critical workloads, data, and infrastructure to modern platforms with a clear migration path and minimal disruption.

Cloud and platform migration planning
Workload, infrastructure, and configuration migration
Validation, optimization, and post-migration stabilization
Developer platform & tooling modernization

Modernize the systems and workflows engineering teams use to build, ship, and operate software.

Control and developer platform migrations, including ADO to GitHub
CI/CD and DevOps workflow modernization
AI-ready developer tooling and engineering workflows
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
Search bar with the query 'enterprise AI across databases' and a source-grounded answer box showing that enterprise AI systems retrieve answers from files policy.pdf, Customer_DB.docx, and Andela_Database.pdf.User interface showing a search for 'enterprise AI across databases' with source icons above and a source-grounded answer displaying files policy.pdf, Customer_DB.docx, and Andela_Database.pdf.
AI in Production

Deploy AI systems into 
agentic 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
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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
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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

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.

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