Build AI that actually works — not just demos or PoCs.
LLMs are powerful, but raw API calls won't solve your business problems. Datsugi builds production-ready AI systems with proper orchestration, guardrails, and integration into your existing workflows.
How we treat AI / ML development projects
AI projects fail when they start with tech instead of outcomes. We begin with your business problem, then work backwards to the model, architecture, and integration.
Use case definition
What decision are you trying to automate? What tedious task should you eliminate? We define the problem before writing a line of code — because 'add AI' isn't a strategy.
Model selection
Claude, GPT-4, Gemini, Llama, Mistral — each has strengths and trade-offs. We evaluate cost, latency, accuracy, and data privacy requirements.
Architecture design
RAG pipelines, agent frameworks, fine-tuning, prompt chaining — we design the system architecture that turns a foundation model into a reliable business tool.
Integration and deployment
We integrate models into your CRM, ERP, document workflows, or customer-facing apps — with monitoring, fallbacks, and human-in-the-loop where needed.
From document processing to autonomous agents — we build AI systems that deliver real business value.
Whether you need to extract data from PDFs, automate customer support, or build internal copilots — we can help. Here's what we specialize in:
Document processing and extraction
Invoices, contracts, medical records, compliance forms — we build pipelines that extract structured data from unstructured documents using LLMs, OCR, and specialized models like AWS Textract or Google Document AI.
Retrieval-augmented generation
Give your LLM access to your company's knowledge — product docs, policies, support tickets, internal wikis. We build privacy-first RAG systems with proper chunking, embedding, and retrieval so answers are accurate and grounded.
Autonomous agents and workflows
When a single prompt isn't enough, we build multi-step agents that reason, search, take actions, and loop until the task is done. With guardrails, logging, and human escalation paths built in.
A (non-exhaustive) list of LLMs and AI platforms we work with
We're model-agnostic. Whether you need the best performance, lowest cost, or strictest data privacy — we'll match you with the right platform.
Claude
ChatGPT
Magento
Llama
Grok
Mistral AI
DeepSeek
Gemma (Google)
Amazon Textract
Google Document AI
IBM Watson
Azure AI Search
AI delivers the most value where documents and regulations rule.
Industries drowning in paperwork, compliance checks, and manual review processes see the biggest ROI from well-implemented AI systems.
AI Development for Pharma
Automate adverse event extraction, clinical trial document review, and regulatory submission preparation — while maintaining audit trails and compliance.
AI Development for Banks
Streamline KYC document processing, loan application review, and fraud detection — with explainable AI that satisfies regulators.
AI Development for Law Firms
Extract key clauses from contracts, automate due diligence, and build internal knowledge bases that make legal research faster and more accurate.
AI Development for Insurance
Process claims documents, extract policy details, and automate underwriting workflows — reducing turnaround time from days to minutes.
AI Development for Government
Digitize citizen services, automate permit and application reviews, and build AI assistants that help staff navigate complex regulatory frameworks.
AI Development for Healthcare
Extract patient data from clinical notes, automate prior authorization, and build AI tools that support — not replace — clinical decision-making.
Datsugi offers end-to-end AI / ML development services
From proof-of-concept to production, we build AI systems designed for reliability, scalability, and real business impact.
Prompt engineering and optimization
We design, test, and iterate on prompts systematically — not by guessing. Structured outputs, few-shot examples, chain-of-thought reasoning, all version-controlled.
Evaluation and testing frameworks
How do you know if your AI is getting better? We build evaluation pipelines with test datasets, accuracy metrics, and regression testing so you can ship with confidence.
Guardrails and safety layers
LLMs hallucinate. They go off-topic. They leak data. We implement content filtering, output validation, and fallback logic to keep your AI safe and predictable.
And a whole lot more
Everything you need to build AI that works in the real world — not just in demos.
Fine-tuning and custom models
When prompt engineering isn't enough, we fine-tune models on your data — improving accuracy for domain-specific tasks while keeping costs under control.
Vector databases and embeddings
We set up and optimize vector stores like Pinecone, Weaviate, or pgvector — so your RAG system retrieves the right context, every time.
Ongoing monitoring and iteration
AI systems degrade over time. We set up logging, feedback loops, and retraining pipelines so your models stay accurate as your data evolves.