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Turn Your Data Into a Competitive Advantage

We design and deploy AI-powered products and data science systems that go live, scale, and drive real business outcomes — not just demos.

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Compliant with:

AWS Partner
GDPR
HIPAA Compliant
ISO 27001
DORA
AICPA SOC

Trusted by forward-thinking companies

Siemens
Siemens Healthineers
PwC
Toyota
Geberit
Rainbow
Chooose
Omnipack
Lexolve

Do any of these sound familiar?

Public AI tools hallucinate.
Our AI strategy needs better integration.
We want to add AI to a legacy platform.
We have AI somewhere in the roadmap.

Custom AI Development for Enterprise

3 engagements covering the full AI delivery stack. From validating your first use case to running production systems grounded in your data.

AI Services

Custom LLM integrations, RAG pipelines, intelligent agents, and AI-powered features built to enterprise standards. We handle model selection, fine-tuning, evaluation, and production deployment.

Data Science

Predictive models, anomaly detection, recommendation engines, and analytics dashboards. We turn raw data into actionable insight — with reproducible pipelines and clear documentation.

AI Interface Layer

A managed abstraction layer that sits between your product and multiple AI providers. Swap models, A/B test prompts, track costs, and enforce quality gates — without rewriting your app.

AI Products. Each Solves a Different Operational Problem.

Built for product companies, SaaS teams, and knowledge-heavy enterprises. All operate on a verified-answers model: grounded in your data, never trained on it.

SmartSearch

Semantic AI Search with Fact Verification

Enterprise semantic AI search with fact verification. Reads full descriptions and content, understands intent, and returns results with citations back to the exact sentence in your source data. Deployed across travel, fintech, healthcare, EdTech, and enterprise SaaS. Live in 2 to 6 weeks.

KnowHub

Your Company's AI Knowledge Assistant

KnowHub

GPT-like enterprise knowledge portal. Turns scattered documents, procedures, and manuals into one searchable AI assistant. Always up to date, multilingual, grounded exclusively in your approved content. Self-service that users will actually use.

InProduct AI

AI Copilot for SaaS Platforms

InProduct AI demo

AI copilot for SaaS platforms. Integrates directly with your codebase, writes its own documentation in real time, and guides users through your platform. Documentation stays in sync as your product ships new features. Zero hallucinations because it never leaves your code.

Why Enterprise Teams Choose SH for AI

Verified Answers, Always

Every AI system we ship is grounded exclusively in your verified data: your codebase, your documents, your database. The AI cannot generate answers from public training data or invent facts. Every response is traceable back to the exact source.

Enterprise-Grade Security

ISO 27001 certified. Your data never trains another model. We integrate with your SSO and access policies, encrypt at rest and in transit, and restrict database access to within the application. Compliance with GDPR, HIPAA, SOC 3, DORA, and NIS2.

Production-First, Not Demo-First

We build AI that ships, not AI that wins demos. Our engagements end with monitored, deployed systems that hold up to real enterprise traffic. We measure outcomes, not capabilities.

AI in Production

Our Client

Cybersecurity Management Platform | USA

The Challenge

Complex dashboards and static reports required expert-level training to interpret.

The Solution

We integrated InProduct AI to provide a context-aware chat interface grounded in the platform's live logic.

The Result

Self-serve data exploration, faster onboarding, and a significant drop in support tickets for data interpretation.

Frequently asked questions

We work on a wide range of AI initiatives: LLM-powered features, RAG-based knowledge systems, semantic search, predictive analytics, recommendation engines, and custom AI agents. If it involves making a product smarter with data or language models, we're interested.

Yes — we're model-agnostic. We've deployed production systems using OpenAI GPT-4o, Anthropic Claude, Mistral, Llama, and fine-tuned domain-specific models. We recommend the best fit for your accuracy, cost, and latency requirements.

We use retrieval-augmented generation (RAG) architectures to ground responses in your verified data, combined with output validation layers, confidence thresholds, and human-in-the-loop review flows for critical decisions.

Absolutely. We frequently add AI capabilities to existing applications via API integrations, embedded widgets, and microservice architectures. Our AI Interface Layer makes it easy to add, swap, or upgrade AI features without touching your core product.

A focused AI feature (e.g., semantic search, a Q&A assistant, a classification pipeline) typically takes 4–10 weeks from kick-off to production deployment. More complex multi-model systems or data infrastructure projects run 3–6 months.

We build GDPR- and HIPAA-aligned systems by default: data minimization, encryption at rest and in transit, audit logging, and clear data retention policies. We never send your proprietary data to third-party model providers for training purposes.

Depending on scope, engagements include: problem framing and data audit, architecture design, model selection and evaluation, infrastructure setup, API and UI development, monitoring dashboards, documentation, and post-launch support.

Ready to move from experiment to production?

Tell us where your AI or data initiative stands today and what it has to deliver. We'll map the path from pilot to a system your teams run every day.

Let's talk AI

A team trusted by best-in-class companies.

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