AI-Powered Development
AI Features Your Users
Will Actually Use.
LLM integration, RAG knowledge bases, AI chatbots, and workflow automation. Built by engineers who understand both AI models and production software.
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20+
AI Products Shipped
3x
Faster Dev with AI
70%
Avg Ticket Deflection
4 wks
First AI Feature Live
What we build
AI Development Capabilities
LLM Integration & AI Chatbots
GPT-4, Claude 3, and Gemini integrated into your product. Customer support bots, document Q&A, code assistants, and AI copilots — purpose-built for your workflow, not generic AI wrappers.
RAG & Knowledge Bases
Vector search and retrieval-augmented generation so your AI answers from your data — not just training data. We build document ingestion pipelines, embedding stores, and semantic search on top of your content.
AI-Powered Workflow Automation
Replace brittle rule-based automation with AI that understands intent. Document classification, data extraction, content generation, and routing agents that work without manual intervention.
Fine-Tuning & Custom Models
When a base model is not enough, we fine-tune on your domain data. From legal documents to medical records to financial data — a custom model that speaks your industry's language.
In production
AI Features We've Shipped
AI Support Bot
Handles 70% of tickets autonomously. Escalates to humans only for complex edge cases.
Contract Intelligence
Processes thousands of legal contracts per day, extracting key clauses in seconds.
AI Content Engine
3x content output with human-in-the-loop editing. SEO-optimized and on-brand.
Churn Prediction ML
Reduced customer churn by 35% with a predictive model trained on product usage data.
Technologies
AI & ML Stack We Use
OpenAI
Python
FastAPI
Hugging Face
PostgreSQL
Vercel AI SDK
Anthropic
LangChain
Pinecone
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Get your free estimate in 24 hours
How we work
Our Development Process
AI Discovery
Week 1Use case mapping, model selection, data audit
Architecture
Week 1–2RAG pipeline, API design, integration plan
Development
Week 3–8Model integration, UI, evaluation harness
Evaluation
Week 9Accuracy, latency, cost, hallucination testing
Launch
Week 10Production deploy, monitoring, rate limits
Iterate
OngoingFine-tune based on real usage, reduce costs
AI Discovery
Week 1Use case mapping, model selection, data audit
Architecture
Week 1–2RAG pipeline, API design, integration plan
Development
Week 3–8Model integration, UI, evaluation harness
Evaluation
Week 9Accuracy, latency, cost, hallucination testing
Launch
Week 10Production deploy, monitoring, rate limits
Iterate
OngoingFine-tune based on real usage, reduce costs
The smarter choice
Why SaaSify for AI Development?
Model-Agnostic Approach
We don't sell a specific vendor's AI. We benchmark GPT-4, Claude, Gemini, and open-source models against your use case and pick the best fit.
Privacy-First Architecture
PII masking, enterprise API tiers, Azure OpenAI, and AWS Bedrock for regulated industries. Your data doesn't train their models.
Evaluation Before Shipping
We build evaluation harnesses before we deploy. Accuracy, latency, cost, and hallucination rate — measured, not assumed.
Full-Stack Integration
AI features woven into your existing product — not bolted on. From backend API to streaming UI, we own the full implementation.
Who we serve
Industries We Build For
LegalTech
HealthTech
FinTech
EdTech
SaaS
E-commerce
Enterprise
Startups
Media
Real Estate
BioTech
Research
Common questions
Questions Before You Reach Out
Let's build together
Ready to add AI to your product?
Let's scope it this week.
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