For requirements that go beyond packaged products. Custom pipelines, backend AI services, bespoke integrations, and domain-specific AI features — built to your exact specifications and deployed into your production environment.
Most enterprise AI needs are well-served by our packaged products. Custom engineering is the right choice when your requirements are genuinely unique.
Your documents have proprietary schemas, industry-specific terminology, or extraction requirements that standard products can't handle out of the box.
You need AI to connect to legacy systems, proprietary APIs, or custom-built platforms that don't have standard connectors available.
Regulatory requirements mandate that AI processing happen on-premises, in a specific cloud region, or within a controlled environment that standard deployments can't accommodate.
Your use case requires fine-tuned or specialized models for specific verticals — legal, medical, financial, or technical domain AI that general models don't handle well.
Your AI needs to process at scale — millions of documents, real-time inference, or sub-second latency requirements that packaged products aren't optimized for.
Your organization needs AI deployed across multiple business units, geographies, or customer tenants — with separate data, access controls, and configurations for each.
End-to-end AI processing pipelines — ingestion, preprocessing, model inference, post-processing, and output delivery — designed for your specific data types, volumes, and latency requirements.
Custom Retrieval-Augmented Generation implementations with specialized chunking strategies, embedding models, vector stores, and retrieval logic tuned to your corpus and query patterns.
Production-grade AI backend services — REST APIs, event-driven processors, batch jobs — that expose AI capabilities to your applications without coupling them to third-party AI platforms.
Custom MCP connectors that give AI models secure, controlled access to your specific systems, tools, and APIs — enabling agentic workflows tailored to your exact business processes.
Domain-specific model fine-tuning for industry terminology, proprietary formats, and specialized tasks where general models underperform on your data.
Custom evaluation harnesses for testing AI performance against your specific criteria — accuracy on your document types, compliance with your business rules, and alignment with your quality standards.
Deploy AI Chat for the user-facing conversational interface, then use Custom Engineering to build the proprietary connectors that connect it to your specific systems.
Use Custom Engineering to build the extraction pipeline for your proprietary document types, then surface the results through the Management Portal for team review and approval.
For fully bespoke AI systems, Custom Engineering builds the core, and Managed AI Operations monitors and maintains it in production — so your team never has to maintain the AI directly.
Tell us what you're trying to build. We'll assess whether custom engineering is the right path, or whether a packaged product gets you there faster and at lower cost.
Across 50+ countries, teams use InterConnecta AI to connect knowledge, automate complex workflows, and launch AI-powered experiences — with less risk and faster operational payoff.
