Building knowledge systems, workflow automation, and AI platforms for complex organizations.
We partner with enterprise teams to modernize legacy software environments, introduce private LLM capabilities, and deploy resilient agentic infrastructure — keeping uptime at 99.9% with zero risk to operational continuity.
Capabilities & Core Pillars
Swiss Bento ArchitectureEnterprise Knowledge Systems
Design and integration of production RAG architectures, private vector indexing, contextual search over fragmented enterprise datasets, and offline-first internal copilots.
AI Infrastructure & Governance
Unified LLM API gateways (Gatepass Proxy), model evaluation frameworks, token cost routing, rate limiting, cryptographic audit trails, and data sovereignty compliance.
Agentic Workflow Orchestration
Multi-agent decision systems built on Model Context Protocol (MCP) and LangGraph. Automating repetitive technical workflows while enforcing strict human-in-the-loop controls.
Legacy-to-AI Systems Modernization
Incremental refactoring of high-stakes systems without platform downtime. Rebuilding legacy databases (e.g. Oracle-to-PostgreSQL), consolidating software versions, and attaching AI layers seamlessly.
Select Work & Engagements
Anonymized Case StudiesUCaaS Call Intelligence & Diarization Platform
Designed and integrated automated speech transcription, speaker diarization, and LLM meeting insights into legacy telecom infrastructure. Created a new high-value revenue stream from existing enterprise clients without requiring a platform rebuild.
AI Threat & Phishing Detection System
Deployed real-time LLM threat analysis into legacy enterprise communication channels. Added enterprise-grade security filters directly on top of active infrastructure without interrupting live traffic.
Self-Service RAG Support Portals
Built and deployed RAG-based support agents that deflected 40%+ of routine enterprise tickets for regulated clients. Maintained strict SLA compliance while reducing operational support overhead.
High-Throughput Reconciliation & Data Sovereignty Engine
Directed international technical expansion across KSA and UAE for a financial reconciliation platform. Implemented strict cryptographic signing and data sovereignty protocols while scaling transaction volume by 350%.
How We Work — Engineering Principles
1. Modernization Over Replacement
We specialize in high-stakes legacy platforms. Rather than advocating risky rip-and-replace overhauls, we attach modern AI capability to proven core systems.
2. Rapid AI-Assisted Validation
Every initiative begins with fast feasibility discovery. Using LLM orchestration workflows, clients validate architecture in days before committing engineering budget.
3. Open Standards & Zero Lock-in
Systems are engineered on open standards (Model Context Protocol, open APIs, containerization), giving enterprises complete ownership of their data and model choices.
Supported Enterprise Infrastructure & Stack
Production StandardsPublic Work & Open Source Ecosystem
Open developer infrastructure and public utility projects maintained by Covai Labs.
Discuss an Enterprise AI Initiative
We collaborate directly with engineering executives, product leads, and technical founders. Reach out to schedule an initial discovery call.