01Cloud
Multi-cloud services
Access AWS, Google Cloud, Microsoft Azure, and Alibaba Cloud—with procurement, migration, cost optimization, and ongoing operations connected.
Global technology partner
Make cloud, AI, and data work for the business.
We connect the world’s leading technology platforms with commercial access and technical delivery—so modern infrastructure becomes simpler to buy, build, and operate.
Technology ecosystems
AWSGoogle CloudMicrosoft AzureAlibaba CloudOpenAIAnthropicGeminiDeepSeekQwenKimiMiniMax
Three business pillars
One operating model, from procurement to production.
02Intelligence
Foundation model services
Select, integrate, and govern leading global AI models around the right balance of performance, availability, and economics.
03Data
Enterprise data solutions
Create a trusted data foundation that turns fragmented information into governed, analytical, and AI-ready enterprise assets.
Cloud lifecycle
From the first cloud invoice to dependable operations.
Cloud assessment and advisoryProcurement and cloud billingLanding zones and deploymentApplication and database migrationMonitoring and managed operationsFinOps and cost optimizationSecurity, governance, and complianceBackup and disaster recovery
Assess & plan
Platform selection, architecture, budget, and migration roadmap
Procure & bill
Accounts, contracts, discounts, funding, and consolidated billing
Build & migrate
Landing zones, deployment, application, and database migration
Operate & optimize
Monitoring, backup, security, FinOps, and technical support
AI delivery models
Choose the model—and the right way to run it.
01
Model APIs
Unified access to text, image, audio, video, and vision models
Pay for actual usage. Validate quickly and scale on demand.
02
Dedicated Endpoints
Dedicated models on isolated compute resources
Consistent throughput, low latency, and clearer data boundaries.
03
GPU Infrastructure
GPU instances, clusters, and bare-metal capacity
Built for inference, fine-tuning, training, and enterprise deployment.
Across leading proprietary and open models, with evaluation, routing, and usage governance.
Unified multimodal model APIsModel selection and evaluationServerless inferenceDedicated inference endpointsGPU instances and clustersModel deployment and fine-tuningEnterprise and agent integrationAI usage and cost governance
Enterprise data
Make enterprise data useful for both analytics and AI.
From integration and platform engineering to governance and AI data pipelines, create a trusted foundation that can evolve with the business.
Data integration and pipelines
Connect business systems, databases, SaaS platforms, and real-time events through reliable ingestion and processing.
Lakehouse and analytics platforms
Build lake, warehouse, or lakehouse platforms for real-time analytics, batch processing, and self-service BI.
Data governance and security
Establish catalogs, quality, lineage, master data, access control, and sensitive-data protection.
AI data engineering
Build knowledge bases, vector retrieval, RAG pipelines, and evaluation data for grounded AI applications.
Why Tealith
A cross-platform perspective. Accountability end to end.
Choice
Start with the business, not a platform. Avoid unnecessary lock-in.
Control
Understand spend, usage, risk, and return with greater clarity.
Velocity
Remove procurement and integration friction. Reach production sooner.
One relationship across the global technology ecosystem
How we work
Commercial and technical decisions on one roadmap.
Assess
Map business goals, current environments, and critical constraints.
Plan
Design the platform, commercial model, and delivery path.
Deliver
Procure, migrate, integrate, validate, and launch.
Operate
Continuously improve cost, performance, security, and governance.