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SERVICE 03 — GENERATIVE AI

Build Systems
That Think,
Create & Act

We engineer production-grade Generative AI systems — from LLM integration and prompt engineering to custom fine-tuning and multi-modal pipelines — powered by Claude, GPT-4, Gemini, and open-source models.

20+ LLM Projects
8+ LLMs Deployed
10x Faster Workflows
SCROLL
LLM Integration
Prompt Engineering
Fine-tuning
Multi-modal AI
RAG Pipelines
AI Assistants
WHAT WE BUILD

Intelligent
Conversations
At Scale

We don't just call an API — we engineer the full stack. From system prompt architecture and context management to streaming responses and fallback chains, every LLM integration we build is production-hardened and cost-optimised.

Claude 3.5 SonnetGPT-4oGemini 1.5 Pro Llama 3MistralCustom Fine-tuned
Claude Anthropic
GPT-4o OpenAI
Gemini Google
Llama 3 Meta / OSS
Mistral Mistral AI
Custom Fine-tuned
Origin AI Assistant Claude 3.5 Sonnet
You
Analyse our Q3 sales data and suggest three strategies to improve conversion rates in the healthcare segment.
Origin AI
|
USE CASES

What We
Engineer

Every Generative AI solution we build is purpose-built for your domain — not a generic wrapper around a public API.

01

Custom AI Assistants & Chatbots

Domain-specific AI assistants trained on your data, tone, and workflows. Customer support bots that actually resolve issues, internal knowledge assistants that search 10,000-page documentation in seconds, and sales copilots that personalise every outreach message.

System PromptsContext ManagementStreaming Function CallingMemoryMulti-turn
Key Outcomes
→ 80% reduction in support ticket volume
→ Sub-2s response latency on production
→ 95%+ user satisfaction scores
02

Content Generation Pipelines

Automated content at scale — blog posts, product descriptions, social media, email campaigns, and reports generated in your brand voice with human-level quality.

Brand VoiceMulti-formatSEOAutomation
03

Code Generation & Review

AI-powered code generation, review, documentation, and test writing integrated directly into your development workflow and CI/CD pipeline.

CopilotCode ReviewUnit TestsDocs
04

Document Intelligence

Extract, summarise, and query information from PDFs, contracts, reports, and unstructured documents with LLM-powered understanding far beyond basic OCR.

PDF AnalysisSummarisationQ&AExtraction
05

Multi-lingual AI

Real-time translation, multilingual customer support, and content localisation powered by LLMs with cultural nuance, not just word-for-word translation.

100+ LanguagesLocalisationTranslation
06

Fine-tuning & Custom Models

Domain-specific fine-tuned models that outperform general LLMs on your task at a fraction of the inference cost — medical, legal, finance, and more.

LoRAQLoRARLHFDomain Adapt
REAL-WORLD PROJECTS

From Prompt
to Production

Every project ships with proper evaluation frameworks, cost monitoring, hallucination guards, and production observability baked in.

Healthcare AI
Healthcare
LLM Integration + RAG

Medical Report Summarisation System

Deployed a Claude-powered pipeline that ingests radiology, pathology, and clinical notes — summarising 40-page reports into structured 1-page briefs for physicians. Integrated with EMR systems via FHIR API with full audit logging for compliance.

92%Time Saved
40pg→ 1 Page
<3sSummary Time
HIPAACompliant
Claude 3.5LangChainFHIR APIPineconeFastAPI
E-commerce AI
E-Commerce
Content Generation

Product Description Generator

Fine-tuned GPT-4o on 50k product descriptions to generate SEO-optimised copy in brand voice. Reduced content production time from 2 hours to 8 seconds per product.

900xFaster
50kTraining Samples
GPT-4o Fine-tuneOpenAI APINext.js
Legal AI
Legal Tech
Document Intelligence

Contract Review Assistant

AI system that reviews NDAs, SaaS agreements, and employment contracts — flagging risky clauses, summarising obligations, and suggesting redlines in seconds.

85%Review Time Cut
200+Clause Types
ClaudeLlamaIndexpgvector
Education AI
EdTech
AI Tutor + Fine-tuning

Personalised Learning Assistant

Adaptive AI tutor that adjusts explanation style, difficulty, and pacing based on student performance history. Deployed across 3 universities with 15k+ active users.

15k+Active Users
40%Grade Improvement
GeminiFirebaseFlutter
Finance AI
Finance
Multi-modal + Analysis

Financial Report Analyst

Analyses earnings calls, 10-K filings, and financial charts together — producing risk summaries, growth signals, and competitor comparisons for investment teams.

10-KFiling Analysis
5minFull Report
GPT-4o VisionLangGraphPostgres
Customer support AI
SaaS
AI Assistant + RAG

Intelligent Support Copilot

Real-time AI copilot for support agents — surfaces relevant docs, suggests responses, and auto-drafts tickets with context from CRM, reducing average handle time by 60%.

60%Handle Time ↓
4.8★CSAT Score
ClaudeZendesk APIRedisReact
MODEL SELECTION

Choosing the
Right LLM
for Your Task

We work across the full LLM ecosystem. Model selection is driven by your task requirements, latency budget, cost constraints, and data privacy needs — not brand loyalty. We benchmark every deployment before it goes live.

Reasoning Tasks
Claude 3.5, GPT-4o, Gemini 1.5 Pro
Code Generation
Claude 3.5, GPT-4, DeepSeek Coder
Cost-Optimised
Haiku, GPT-4o Mini, Mistral 7B
Private / On-prem
Llama 3, Mistral, Phi-3, Custom
LLM Benchmark Comparison — MMLU / HumanEval
ModelMMLUContextCost/M
Claude 3.5 Sonnet 88.7% 200k$3/$15
GPT-4o 87.2% 128k$5/$15
Gemini 1.5 Pro 85.9% 1M$3.5/$10
Llama 3 70B 82.0% 8kOSS
GPT-4o Mini 82.0% 128k$0.15/$0.6
* Costs in USD per million input/output tokens. OSS models can be self-hosted for near-zero inference cost.
TECHNOLOGY STACK

Tools We
Master

CL
Claude API
Anthropic
OA
OpenAI API
GPT-4o / o1
LC
LangChain
LLM Orchestration
LI
LlamaIndex
RAG Framework
PC
Pinecone
Vector Database
HF
HuggingFace
Open Source LLMs
PT
PyTorch
Fine-tuning
LG
LangGraph
Agent Workflows
FA
FastAPI
LLM APIs
WV
Weaviate
Vector Search
GM
Gemini API
Google / Multi-modal
DS
DSPy
Prompt Optimisation
HOW WE WORK

Our Process

01
Discovery
Understanding your use case, data, users, and success metrics before touching a single API.
02
Model Selection
Benchmarking LLMs against your specific task — cost, latency, accuracy, and privacy all factored in.
03
Prompt & Pipeline
Engineering system prompts, context windows, retrieval chains, and guardrails for reliable output.
04
Evaluation
Rigorous evals — hallucination rate, factual accuracy, task completion, and cost-per-query tracked.
05
Deploy & Monitor
Production deployment with observability, cost alerts, version control, and continuous improvement.
READY TO BUILD

Have an AI Idea
Worth Building?

Tell us your use case, the LLM you're curious about, and the outcome you need. We'll take it from there.

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