🤖 AI Engineering

AI Integration
Real AI. Into Your Real Software.

We integrate production-grade AI into your existing products — LLMs for language, RAG for knowledge, and custom agents for automation. Not demos. Not wrappers. Actual AI that your users interact with every day.

30+
AI projects shipped
99%
Agent task accuracy
10×
Faster than in-house build
AI Integration — Cutedge Technology
AI Integration LayerYour app + AI models + business knowledge — unifiedYour ApplicationCRM · Dashboard · Support Portal · Mobile App · Any interfaceCutedge AI MiddlewarePrompt engineering · Context injection · Rate limiting · Fallback handling · Cost optimizationLLM LayerGPT-4o · Claude 3.5Gemini · MixtralKnowledge BasePinecone · Weaviatepgvector · RAG PipelineTool Use / AgentsFunction callingLangChain · CrewAIAI Responses — LiveAI scored lead #4829 as high-priority (score 94) based on LinkedIn activity + email engagementSupport bot resolved ticket #2847 using knowledge base — no human needed (CSAT 5/5)
What We Deliver

Everything included — nothing cut short

Every engagement comes with a full-stack team, clear milestones, and production-grade output.

🧠

LLM Integration

Connect GPT-4o, Claude 3.5, Gemini, or open-source models to your product with proper prompt engineering, context management, and cost controls.

📚

RAG Knowledge Systems

Build AI that answers from your actual data — documents, SOPs, product catalogs, and FAQs — using vector databases and retrieval pipelines.

🤖

Custom AI Agents

Agents that take real actions — qualifying leads, drafting emails, updating records, routing tickets — with tool use and multi-step reasoning.

🔄

Streaming Responses

Token-by-token streaming so your users see AI responses as they generate — critical for chat interfaces and copilot experiences.

📊

Observability & Evals

Full logging of every AI interaction, prompt-response pairs, latency, cost tracking, and automated evals to catch model drift.

🔐

Safe & Compliant AI

Content filtering, PII redaction, output validation, and guardrails so your AI behaves predictably in production — not just in the demo.

Tech Stack

Modern tools.
Mastered.

We use the same technology stack trusted by the world's fastest-growing companies — not legacy frameworks that slow you down.

LLM Providers
OpenAI GPT-4oAnthropic ClaudeGoogle GeminiMistralLlama 3
Orchestration
LangChainLlamaIndexCrewAILangGraph
Vector & RAG
PineconeWeaviatepgvectorChroma
Infra
PythonFastAPIRedisAWS Bedrock
Our Process

How we work
with you

01

AI Readiness Audit

We evaluate your data, workflows, and codebase to identify exactly where AI will create the most value — and what it will take to get there.

02

Prototype & Validate

A working prototype in 2 weeks so you can see and test the AI behavior before we build for production.

03

Production Engineering

Prompt engineering, context window management, retrieval pipelines, streaming, rate limiting, and cost optimization — all built properly.

04

Evals & Fine-tuning

Automated test suites that catch regressions, and fine-tuning pipelines if your use case needs domain-specific behavior.

05

Monitor & Improve

Ongoing monitoring, usage analytics, cost dashboards, and iterative improvement as you gather real user interaction data.

Industry Use Cases

Built for real businesses

We've delivered this across industries — and we know exactly what each one needs.

SaaS Product
Challenge

Customer support team was overwhelmed — 800+ tickets/day with slow resolution and high churn from frustrated users.

Our Solution

Built an AI support agent using RAG on product documentation + past ticket history. Escalates to humans when confidence is low.

70% of tickets auto-resolved · CSAT up from 3.4 to 4.7
Sales CRM
Challenge

Sales reps spent 2+ hours per day on manual lead qualification and CRM data entry after every call.

Our Solution

AI copilot that listens to call transcripts, auto-fills CRM fields, scores leads, and drafts personalized follow-up emails.

82% less admin time · 38% more calls per rep per day
Legal Tech
Challenge

Lawyers needed to extract key clauses from hundreds of contracts quickly without missing critical risk factors.

Our Solution

RAG pipeline over uploaded contracts with structured extraction, risk flagging, and comparison across document versions.

10x faster contract review · 94% extraction accuracy
Why Choose Us

Why choose Cutedge for
AI Integration

We combine product thinking, strong engineering, and practical delivery discipline so your project does not just launch — it works reliably for your team and customers.

120+
Projects Delivered
60+
Businesses Served
8+
Years Experience
99.9%
Reliability Focus
Live-ready

Production-Ready Engineering

We build ai integration work for real users, real traffic, and real business operations from day one.

No guesswork

Clear Strategy Before Build

We map workflows, technical constraints, risks, and launch priorities before writing code or designing screens.

Weekly demos

Fast Weekly Delivery

You get visible progress through weekly demos, tight feedback loops, and milestone-based execution.

Full support

Support After Launch

We stay involved for deployment, monitoring, fixes, team training, and future improvements after handoff.

Client Stories

What service clients say

Real feedback from brands that trusted us with production-critical work.

★★★★★

The AI support agent Cutedge built handles 70% of our tickets without any human involvement — and the CSAT score actually went up. I was skeptical about AI support before this. Now it is the most valuable piece of infrastructure we have. The RAG setup on our docs is genuinely impressive.

AR
Ananya Rao
CTO, FinStack
AI Integration
★★★★★

Cutedge understood our operations quickly and turned a scattered requirement list into a dependable ai integration rollout. The weekly demos, clear documentation, and post-launch support made the whole engagement easy to trust.

RM
Ritika Malhotra
COO, OrbitEdge Systems
AI Integration
★★★★★

We needed a partner who could move fast without leaving quality behind. The Cutedge team delivered the ai integration work cleanly, helped our internal team adopt it, and stayed available after launch.

DA
Dev Arora
Founder, BrightPath Labs
AI Integration

Ready to start your AI Integration project?

Tell us what you need. We'll come back within 24 hours with a clear path forward — no fluff, no sales pitch.

Response within 24 hrsFixed-price or retainerDedicated project manager