EIGHT CONNECTED CAPABILITIES

Engineering services around the software you actually have.

CodeCradle combines product engineering, model integration, data, workflows, tools, and production operations. Each service is focused; the boundaries between them remain deliberately connected.

Choose the service closest to the problem. The final architecture may cross several capabilities, but it should never become broader than the outcome requires.

CAPABILITY DIRECTORY

From existing system to useful behavior.

01

AI Modernization & Integration

CodeCradle introduces model, retrieval, and automation capabilities inside established applications while preserving the users, data, permissions, and business logic that already matter.

02

AI Agents & Agentic Automation

CodeCradle engineers tool-using systems for work that genuinely benefits from flexible planning, while keeping permissions, approvals, failure behavior, and operational visibility explicit.

03

Business Process Automation

CodeCradle combines deterministic workflow logic with models where interpretation is useful, connecting the systems people currently bridge by hand.

04

Custom AI Product Development

CodeCradle takes serious AI-enabled products from a defined problem through product design, software architecture, implementation, evaluation, launch, and ongoing improvement.

05

RAG & Enterprise Knowledge Systems

CodeCradle builds retrieval and knowledge systems that connect approved sources to grounded answers, search, and workflows. Freshness, citations, access control, and evaluation are designed in.

06

AI Integrations & Copilots

CodeCradle integrates models, retrieval, and approved tools into existing application experiences, preserving current identity, permissions, and product behavior.

07

Voice & Conversational AI

CodeCradle builds voice and conversational experiences for appropriate workflows, connecting speech and language systems to approved business context, actions, and human escalation.

08

MCP Server Development & AI Tooling

CodeCradle builds Model Context Protocol servers and tool layers that expose approved resources, data, workflows, and application actions with authentication, authorization, testing, and operational control.

HOW THEY CONNECT

One product can need several disciplines.

Modernization locates the change.

Integration puts capability in context.

RAG or MCP provides knowledge and tools.

Automation or agents moves work forward.

Product engineering makes the whole system usable.

NEXT STEP

Not sure which service the work belongs to?

Describe the system and the problem. Service labels can follow after the engineering boundary is clear.