Multi-Agent AI Architecture
Engineering Trust for AI-First B2B SaaS.
We build multi-agent, self-auditing AI architectures that eliminate hallucinations and reduce liability for enterprise software. Engineered and deployed in 7-10 days or you get your money back — no questions asked.
The Trust Gap
Enterprise Clients Don't Buy “Magic.” They Buy Reliability.
For AI-first B2B SaaS companies, shipping fast is easy. But deploying AI into enterprise environments — where a single missed clause or hallucinated data point creates massive financial liability — is the real bottleneck.
Standard LLM integrations guess. Enterprise software needs to know. When your AI hallucinates, you don't just get a bad output; you churn high-value clients and burn your runway.
Our Architecture
The Self-Auditing Architecture. Delivered in Days, Not Months.
Kaide specializes in designing and deploying deterministic, multi-agent AI systems. Instead of relying on a single prompt, we build asynchronous workflows where AI agents audit their own work before it ever reaches the end-user.
We specialize in deploying custom multi-agent layer architectures. Because every enterprise bottleneck is different, the specific layers, agents, and auditing mechanisms are custom-engineered to fit the exact requirements of your project.
Velocity Without Compromise
7–10 Days to Production
You get the extreme speed of agile AI development combined with the rigorous stability and QA of a senior engineering team, ensuring zero compromise on quality.
What We Build
Built for High-Stakes Data.
Case Study: Lease Portfolio Analysis
AI Lease Portfolio Analyser
Engineered a three-agent AI pipeline (extraction, validation, synthesis) that ingests 2–20 PDF leases, extracts structured clause data across 12 categories, cross-references terms across the portfolio, and surfaces quantified savings opportunities with deterministic risk scoring.
Case Study: Interview Integrity Platform
AI Anti-Cheat Interview Platform
Built a live coding interview platform with a 10-layer behavioral detection engine that analyses keystroke velocity, rhythm, cursor linearity, and focus patterns in real-time. Includes adaptive per-candidate baselines, webcam telemetry via automated vision AI, auto-interrogation, and a forensic recruiter dashboard with session replay.
Case Study: Pricing Intelligence Platform
Competitive Pricing Intelligence
Built a competitive intelligence platform that automates headless browser scraping of competitor menus across delivery apps, uses AI-powered semantic category mapping to normalise inconsistent menu data, tracks pricing trends over time, and surfaces item-level price gap opportunities with ROI projections.
Case Study: Voice-to-Deal Module
Voice-to-Deal PWA
Engineered a mobile-first PWA that lets brokers speak deal details into their phone and receive structured, CRM-ready data back in under 10 seconds. Multi-model pipeline with speech-to-text transcription, multimodal extraction, and live market intelligence — plus smart badges, missing-field coaching, and one-tap LOI generation.
B2B SaaS Infrastructure Upgrades
Upgrading existing single-prompt SaaS tools into reliable, multi-agent pipelines to secure enterprise contracts and reduce client churn.
Pre-Funding Prototype Engineering
Partnering with founders to build technically defensible, enterprise-ready AI prototypes that secure seed funding.