SaaS & AI
Experienced engineers for AI-powered SaaS platforms
We design and build AI-driven SaaS products that turn complex automation and data processing into scalable software platforms — from organizational change to voice agents to agentic hiring.
How we design and engineer AI SaaS systems
key principle
01Multi-tenant from day one
Tenants, RBAC, plans, and credit wallets baked in early — so the SaaS can serve enterprise customers without a future re-architecture (Verdapt, Callan Hawkins).
key principle
02LLM orchestration as infrastructure
Provider selection, parallelization, caching, and cost optimization built into the platform layer (Callan Hawkins runs OpenAI + Gemini + Claude in parallel).
key principle
03Real subscription + usage billing
Stripe plans, metered usage, and credit wallets wired into the product — not bolted on after launch (Verdapt, ChangeTools.ai).
key principle
04Production observability
Conversation analytics, sentiment, uptime, and per-run traces so the SaaS keeps improving after it ships (GetBoardWise runs at 99.9% uptime across 12K+ AI runs).
AI SaaS platforms we have shipped to production
Multi-tenant SaaS for organizational change, no-code voice agents, and agentic interviewing — each with real subscription billing and measurable production metrics.
ChangeTools.ai
AI-powered change management for leaders, consultants, and HR teams. Multi-tenant SaaS, GPT-4o-driven insights for strategic planning and employee assessments, subscription tiers, Google OAuth, and scalable AWS deployment.
Multi-tenant SaaS with subscription billing
GPT-4o-driven insights for assessments and planning
End-to-end auth, team collaboration, scaling
Built on Next.js + Node.js + MongoDB + AWS EC2
Verdapt
Tool-agnostic, no-code AI conversation platform for deploying intelligent multi-channel bots. Bring-your-own APIs, OpenAI Agents orchestration, full Twilio Voice + SMS + Serverless, real-time STT → LLM → TTS streaming, Stripe metered billing, and knowledge-base ingestion. Bots deploy in minutes.
One bot across voice, SMS, and web chat
Real-time STT → LLM → TTS streaming
Multi-tenant RBAC + Stripe metered billing
Bring-your-own APIs for industry-specific logic
MockWise
An AI interview agent simulating real, time-bound coding interviews with real-time guidance across Python, JavaScript, Java, and C++. Personalized feedback, session tracking with analytics, paid-tier upgrades, and a recruiter dashboard. Re-architected from MERN monolith to microservices.
Real-time AI interview guidance across multiple languages
Session tracking with per-candidate analytics
Paid-tier upgrades and recruiter dashboard
Microservices architecture after monolith re-platform
AI SaaS products we can build together
AI SaaS Platforms
Multi-tenant subscription products with LLM-powered features, plans, RBAC, and metered billing.
Voice + SMS + Chat AI Agents
No-code or custom bot platforms with Twilio telephony, real-time STT/TTS streaming, and knowledge-base ingestion.
Agentic Workflow Systems
Specialized agents that own discrete stages of a workflow — recruiting, screening, scheduling, outreach — instead of a single fragile sequence.
AI Customer Support Tools
OpenAI-powered chatbots with context-aware responses, WhatsApp + Meta integration, and customizable branding (ChatFlow).
SaaS Admin & Operations Dashboards
Internal dashboards for tenant management, usage monitoring, billing, and platform health.
AI Content & Repurposing Systems
Tools that repurpose long-form content into LinkedIn posts, Twitter threads, and newsletters via LLM pipelines (Adley AI, Content Repurposing Agent).
Turning projects into long-term partnerships
Flexible engagement with sprint-based execution
Guaranteed milestone-driven deliverables
Immediate kickoff after alignment
Transparent reporting
Our partners find numerous reasons to love us
They translated a complex SaaS idea into a clear, multi-tenant product with real subscription and AI infrastructure underneath — not a prototype dressed up to look like one.
Client
Founder, AI SaaS Startup
Their team showed strong technical discipline and product thinking from architecture through launch, with clear visibility into the development process the entire way.
Client
Operations Lead, Enterprise
The process was impressive. They turned a complex AI SaaS concept into a functional, scalable product.
Client
CEO, SaaS Platform
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