Startups & SaaS Division

SaaS Product Engineering & AI for Startups

Validate and scale your product rapidly. Build robust multi-tenant architectures, custom API layers, and semantic AI support deflection agents.

Laravel React.js Qdrant Vector DB LangChain Stripe Billing OpenAI

Industry Challenges We Resolve

Long timelines for custom platform builds, slowing down user validation stages.

Customer success teams overwhelmed by repetitive onboarding support tickets.

Difficulty building multi-tenant pricing and subscription checkout paths.

Unstructured knowledge documentation causing AI chatbots to hallucinate responses.

Inefficient third-party integrations dropping user event logs.

Custom Solutions Tree

How we structure integrations and custom code modules in this space:

Rapid MVP Development
Laravel-powered backend platforms with clean React interfaces built for immediate launching.
Intelligent RAG Support Chatbots
AI assistants grounded in vector databases (Qdrant) answering support queries in real time.
SaaS Billing Engines
Stripe integration supporting multi-tier pricing, usage-based subscriptions, and automated invoicing.
Secure RESTful API Layers
Custom API gateways built with secure token authorization for external client integrations.

Practical Product Implementations

AI Support deflection agent

Built a semantic support assistant grounded inhelp center vectors, deflecting 68% of support tickets automatically.

Usage-Based Billing Hub

Developed custom Stripe meters syncing SaaS event queries directly to monthly billing sheets, launched in 2 weeks.

Relevant Capability Divisions

Explore our service branches targeting these solutions:

AI Agents & Copilots → Software Development → Websites & Web Apps → Business Automations →

Verified Case Study

SupportIQ Case Report

SupportIQ ticket deflection engine

PSYT engineered a custom AI Support Agent grounded in SupportIQ's documentation to deflect 68% of support tickets automatically.

Read Full Integration Steps →
68% Deflection

Industry-Specific FAQs

We ground the Large Language Model using Retrieval-Augmented Generation (RAG) on your actual documentation, and enforce custom LangChain guardrails.

A production-grade first-version platform with user authentication, databases, Stripe billing, and dashboards takes between 8 to 12 weeks.

PSYT

Let's Build for Your Business

Tell us what you're trying to improve and we'll help identify the right technology approach.

Talk to Our Team →