91 QUANTS
Singapore · LLM Application Specialists

Build Smarter with
Large Language Models

91 QUANTS designs, builds, and supports production-grade AI applications powered by LLMs. From enterprise knowledge bases to intelligent agents, we bring your AI vision to life.

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About Us

Your End-to-End LLM Application Partner

91 QUANTS is a Singapore-based AI company focused entirely on Large Language Model applications. We do not just experiment with models — we architect, build, deploy, and maintain production systems that real users rely on every day.

Our team combines deep expertise in prompt engineering, retrieval-augmented generation (RAG), fine-tuning, agent frameworks, and LLM infrastructure. Whether you need a proof-of-concept in two weeks or a scalable platform serving millions of requests, we deliver.

We support models from OpenAI, Anthropic, Google, Meta, and open-source communities — always selecting the right tool for your specific use case, budget, and compliance requirements.

20+
LLM Projects Delivered
99.9%
System Uptime
24/7
Model Monitoring & Support
What We Do

Full-Stack LLM Capabilities

From architecture design to production support, we cover the entire LLM lifecycle.

LLM Application Development

End-to-end development of AI-powered applications using GPT-4, Claude, Llama, and other frontier models. From chatbots to complex reasoning systems.

RAG & Knowledge Systems

Build enterprise-grade retrieval-augmented generation pipelines. Connect your documents, databases, and APIs to LLMs with accurate, grounded responses.

AI Agent Frameworks

Design autonomous agents that plan, execute, and iterate. Tool-use, multi-step reasoning, and workflow orchestration for complex business processes.

Model Fine-Tuning

Customize open-source models for your domain. Instruction tuning, RLHF, and parameter-efficient methods like LoRA and QLoRA for optimal performance.

LLM Infrastructure & Ops

Deploy, monitor, and scale LLM workloads. Cost optimization, latency reduction, caching strategies, and fallback systems for production reliability.

Ongoing Support & Consulting

Long-term model maintenance, prompt versioning, evaluation frameworks, and strategic advisory to keep your AI capabilities ahead of the curve.

Use Cases

Real Problems, Real LLM Solutions

Every project below is a live system we designed, built, and continue to support.

Financial Services

Intelligent Investment Research Assistant

The Challenge

A regional asset manager needed to process thousands of earnings reports, research notes, and market data daily. Analysts were overwhelmed, and insight extraction took hours.

Our Solution

We built a RAG-powered research assistant that ingests PDFs, web data, and internal documents in real time. Analysts now query complex financial questions in natural language and receive cited, accurate answers within seconds.

Research time reduced by 80%Coverage expanded from 200 to 2,000+ securitiesZero hallucination via source citation
Stack: GPT-4 · Pinecone · LangChain · Python
Legal & Compliance

AI Contract Review & Risk Detection

The Challenge

A law firm handling cross-border M&A spent weeks manually reviewing contract clauses for risk exposure and compliance gaps across multiple jurisdictions.

Our Solution

Deployed a fine-tuned Llama 3 model with a custom legal knowledge base. The system flags risky clauses, suggests alternative language, and generates executive summaries tailored to deal teams.

Contract review time: 3 weeks → 2 days95%+ clause detection accuracySupports English, Chinese, and Japanese
Stack: Llama 3 · LoRA Fine-Tuning · Milvus · FastAPI
Enterprise SaaS

Customer Support Agent with Tool Use

The Challenge

A B2B SaaS company struggled with long support ticket queues. Generic chatbots failed because answers required querying order status, account configs, and billing data.

Our Solution

Built an autonomous support agent using function-calling LLMs integrated with CRM, billing, and product APIs. The agent resolves 70% of tickets end-to-end and escalates complex cases with full context.

70% of tickets resolved without human touchAverage response time: 4 hours → 30 secondsCustomer satisfaction score increased 23%
Stack: Claude 3 · Function Calling · React · Node.js
Healthcare

Clinical Documentation Copilot

The Challenge

A private clinic group faced physician burnout from excessive documentation. Doctors spent 2+ hours daily on notes instead of patient care.

Our Solution

Developed a voice-to-text copilot that listens to doctor-patient conversations and generates structured clinical notes, ICD-10 codes, and follow-up instructions in the clinic's preferred format.

Documentation time: 2 hours → 15 minutes99.2% physician adoption rateHIPAA-compliant on-premise deployment
Stack: Whisper · GPT-4 · Local LLM · Docker
Get in Touch

Ready to Build Something Intelligent?

Tell us about your project. We will get back within 24 hours.

[email protected]Singapore · Remote Worldwide