What we build

AI and cloud engineering

Custom AI App Development
Service 01
PythonOpenAITensorFlowFastAPI

Custom AI App Development

Building an intelligent application takes more than bolting a language model onto an existing product. We design custom AI applications so ML and LLM features sit inside the business logic, not beside it.

  • Domain-specific ML model integration
  • Feedback loops for continuous learning
  • Business logic automation
Explore Custom in detail
Web Services and APIs
Service 02
TypeScriptGraphQLNode.jsRedis

Web Services and APIs

In most enterprises, APIs are how systems exchange data and keep contracts stable as teams, vendors, and products change. We design API-first architectures that other teams can build against without re-litigating contracts every release.

  • REST and GraphQL APIs
  • Event-driven real-time architectures
  • Developer portals and SDKs
Explore Web in detail
AI-Driven Integration & Automation
Service 03
KafkaPythonTerraformDocker

AI-Driven Integration & Automation

Most enterprises run dozens of systems that need to exchange data and pass work between teams. Svegile builds integration layers that connect systems, move records cleanly, and use AI where messy inputs need interpretation.

  • Cross-system data synchronization
  • Process automation with ML where needed
  • Fault-tolerant data pipelines
Explore AI-Driven in detail
Migration & Modernization
Service 04
AWSAzureKubernetesTerraform

Migration & Modernization

Legacy systems still run critical business processes, but they can slow releases, scaling, and cost control. Svegile runs migrations that move outdated monoliths to cloud-native architectures while reducing downtime and data-loss risk.

  • Zero-downtime lift-and-shift
  • Technical debt reduction
  • Cloud cost optimization
Explore Migration in detail
Cloud & AI-Native Development
Service 05
KubernetesDockerAWSGCP

Cloud & AI-Native Development

A greenfield build or full rebuild is the right time to set the operational shape: deployment, scaling, observability, and cost controls. We build cloud-native applications with containers, microservices, serverless functions, and infrastructure-as-code. The platform is operable from the first deploy — not after a hardening sprint.

  • Kubernetes, Docker, and serverless
  • Multi-cloud and hybrid deployments
  • Infrastructure-as-code with Terraform
Explore Cloud in detail
Custom AI Agents
Service 06
LangChainOpenAIPythonFastAPI

Custom AI Agents

Demo agents and production agents have different requirements. Svegile builds AI agents that handle multi-step work inside enterprise systems, with tool permissions, logging, evaluation, and approval paths built into the workflow.

  • Domain-specific agent workflows
  • Multi-agent orchestration
  • Human-in-the-loop controls
Explore Custom in detail

Ready to start your project?

Tell us about the project. We'll respond within one business day with a practical next step.

Start Your Pilot