AI that ships to production
From strategy to deployment, we build AI products that deliver real business value , robust, secure and maintainable.
From prototype to production
Most AI projects stall at the demo. We engineer the unglamorous parts , evaluation, guardrails, retrieval quality, observability and cost control , so your AI is reliable, safe and ready to scale.
- Evaluation & guardrails
- Retrieval quality & grounding
- Observability & cost control
from hiis.ai import Assistant, Retriever
# ground answers in your own data
retriever = Retriever.from_docs("./knowledge")
bot = Assistant(model="claude-opus-4", retriever=retriever)
answer = bot.ask("Summarize Q3 revenue drivers")
print(answer.text) # cited, grounded, fastOn-demand AI solutions
Leading AI solutions, built for you
Whether you're a company automating operations or a founder building an AI product, we deliver AI that works in the real world , not just in a demo.
Customer support copilots
24/7 assistants that resolve tickets, deflect repetitive questions and hand off to humans seamlessly.
Internal knowledge assistants
Ask-your-docs search grounded in your wikis, contracts and data , with citations you can trust.
Document & contract intelligence
Extract, classify and summarize PDFs, invoices and forms with near-human accuracy.
Agentic workflow automation
Autonomous agents that chain tools and APIs to remove manual, repetitive work.
Vision & image AI
Detection, OCR, quality control and visual search across images and video.
Predictive analytics
Forecasting, scoring and anomaly detection on your own data.
Personalization & recommendations
Recommendation engines that lift engagement, retention and conversion.
Voice & transcription
Speech-to-text, real-time transcription and natural voice assistants.
How we deliver
Our AI delivery pipeline
A repeatable path that takes your idea from raw data to a reliable, observable production system.
- 1
Discover
We map the use case, data and success metrics.
- 2
Data & retrieval
Ingestion, embeddings and grounding on your data.
- 3
Model & prompt
Model selection, prompting and fine-tuning.
- 4
Guardrails & eval
Evaluation, safety and quality gates.
- 5
Deploy & observe
Production deployment with monitoring and cost control.
What we build with AI
RAG assistants
Domain-aware chat and search grounded in your own data with retrieval-augmented generation.
LLM applications
Custom copilots, agents and workflows powered by leading language models.
ML pipelines & MLOps
From data to deployed models, with reproducible pipelines and monitoring.
Computer vision
Detection, classification and OCR across images and video.
Natural language processing
Extraction, classification, summarization and semantic search over text.
AI automation
Intelligent automation that removes manual work from your operations.
Real-world impact
Outcomes, not experiments
What teams typically achieve once their AI reaches production.
- −55%
- less time handling support tickets
- 10×
- faster document processing
- 99%
- extraction accuracy on structured documents
- 6 wks
- average from prototype to production
“HIIS took our AI proof-of-concept and turned it into a product our whole team relies on. The grounding and guardrails they built mean we actually trust the answers.”
— Head of Product, B2B SaaS company
Models & tools we work with
We're model-agnostic , we pick the right model and tools for your problem, from frontier LLMs to open-source.
Have a project in mind?
Tell us about it , we'll get back to you within 48 hours.