Kantiv Tech Stack
Pursuit intelligence platform for architecture and engineering firms
Kantiv builds a pursuit intelligence platform for AEC (architecture, engineering, construction) marketing and business development teams—capturing proposals, project data, and client history to automate go/no-go decisions and proposal generation. The tech stack is heavily weighted toward LLM tooling (LangChain ecosystem, OpenAI, Mistral, Llama, RAG) and Python/Go backend services, with active projects spanning agentic proposal writing, LLM security governance, and event-driven architecture. Pain points cluster around AI deployment risk (securing LLM workloads, compliance, debugging complex AI systems) and operational efficiency (scaling SaaS, integrating ML models)—a pattern typical of early-stage AI product companies still hardening production readiness.
Tech Stack 46 technologies
What Kantiv Is Building
◆Challenges
- Inefficient proposal writing process
- Securing cloud infrastructure
- Protecting llm workloads
- Compliance with data privacy
- Scaling high-growth saas platform
- Integrating ml models into backend
- Streamlining marketing and business development workflows
- Deploying bleeding‑edge ai to production
- Debugging complex ai systems
▲Active Projects
- Agentic proposal writing platform
- Modular agent component development
- Automated security guardrails
- Cloud infrastructure security policies
- Llm security governance
- Ai-driven platform backend services
- Ml model integration backend
- Event-driven architecture
- Agentic ai applications
