SmartSearch - Verified AI Search
Move beyond keywords. Implement a system that understands business requirements, verifies facts, and cites your sources.
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Does searching
feel like this?
Your systems return thousands of results, but not a clear, actionable answer
Standard keyword search misses the intent behind a query
Public AI invents facts
You can't audit answers to a specific source document
Critical knowledge is stuck in documentation people don't read
SmartSearch – Intelligent, AI-powered data verification
Results you can measure
Stop losing sales to bad data
Standard search hides valid products when tags are missing. SmartSearch finds them by reading real descriptions, so more of your inventory.
Prevent wrong recommendations
Every suggestion comes with proof: an exact quote from the product description.
Speed up your team's decisions
Results arrive grouped into clear buckets (confirmed, needs checking, excluded), so the research work is done.
Reduce liability and risk
Every recommendation can be traced back to the exact text evidence used.
Deploying SmartSearch in 5 steps:
01
Source Analysis:
We map your data (PDFs, databases, technical manuals).
02
Context Modeling
We define verification rules specific to your industry and use cases.
03
SmartSearch Integration
We connect the engine to your existing IT stack and workflows.
04
Precision Testing
We calibrate the engine to ensure maximum accuracy.
05
Go-Live & Monitoring
We launch with technical support and continuous optimization.
How do we secure your data?
ISO 27001 compliance
We do not use your data to train our AI Assistant
We integrate with your SSO and access policies
Database access only from within the application
Data encryption at rest and in transit
FAQ — SmartSearch
What is SmartSearch?
SmartSearch is a semantic AI search engine built by SH. It understands the intent behind a user query and verifies every result against your source data before returning it. Instead of matching keywords to tags, it reads full descriptions, reviews, and content fields, then surfaces results that actually meet the user's requirements. Each match comes with a proof of fact traced back to the exact sentence in your data.
How is SmartSearch different from traditional keyword search or Elasticsearch?
Keyword search matches strings. If an offer doesn't have the exact tag a user typed, it stays hidden, even when the description clearly fits. SmartSearch reads the full content of each record and interprets natural language queries the way a human would. A traveller asking for "a quiet hotel near the beach with good food for kids" gets results filtered against all four conditions, not just the ones tagged.
How does SmartSearch prevent AI hallucinations?
SmartSearch operates on a verified answers model. It is grounded exclusively in your own data. The engine cannot generate or invent information outside your database. Every result includes a citation back to the specific sentence that supports the match, so your team and your users can audit any answer.
What types of data can SmartSearch index?
SmartSearch works with structured and unstructured content: product catalogs, hotel and excursion descriptions, user reviews, financial documents, medical records, course content, internal documentation, and more. If the data is text or can be converted to text, SmartSearch can read it and reason over it.
Which industries use SmartSearch?
SmartSearch is deployed across travel, fintech, healthcare, EdTech, and enterprise SaaS. Tour operators use it to surface verified offers from large inventories. Fintech platforms use it for hallucination free financial intelligence. Healthcare teams use it to query disparate clinical data sources. Learning platforms use it to help users find relevant content based on intent, not tags.
Does SmartSearch integrate with my existing systems?
Yes. SmartSearch connects to your booking engine, CRM, GDS platforms like Amadeus and Sabre, content management systems, and product databases through API. Your existing infrastructure stays in place. We assess your stack during scoping and design the integration around what you already run.
How long does it take to deploy SmartSearch?
Most SmartSearch deployments go live within 2 to 6 weeks. Timelines depend on the volume and structure of your data, plus the complexity of your existing infrastructure. The process covers source analysis, context modeling, integration, and precision testing before launch. After go live, we monitor and optimize performance.
Is SmartSearch secure and compliant?
Yes. SmartSearch is ISO 27001 compliant. Your data is never used to train AI models. All data is encrypted at rest and in transit. Database access is restricted to within the application. SmartSearch integrates with your existing SSO and access policies, so permissions you have already defined apply automatically.
Will SmartSearch work in multiple languages?
Yes. SmartSearch processes queries and source content across languages. A user can ask a question in one language and get a verified result from content originally written in another. This matters for travel platforms, EdTech tools, and any business operating across multiple markets.
How does SmartSearch improve conversion rates?
SmartSearch makes more of your inventory visible. Offers that were previously hidden behind missing or inconsistent tags surface for the right user. Results are ranked by what the user actually asked for, not by tag completeness. The outcome is a curated, accurate shortlist instead of thousands of unfiltered results, which shortens the path to conversion.
Can SmartSearch handle large product catalogs and high traffic?
Yes. SmartSearch is designed for production scale. SH has built search and data infrastructure for platforms serving over 200,000 daily users, including catalogs with hundreds of thousands of records across dozens of countries. The architecture is cloud native and scales with your traffic.
What does the SmartSearch implementation process look like?
Implementation runs in four stages. First, source analysis: we map your data sources and identify what to index. Second, context modeling: we configure how SmartSearch interprets your domain language. Third, integration: we connect SmartSearch to your existing systems through API. Fourth, precision testing: we validate accuracy against real user queries before go live. After launch, we provide ongoing monitoring and tuning.
How is SmartSearch different from ChatGPT or general AI assistants?
General AI tools answer from public training data. They do not know your products, your inventory, or your business rules, and they can produce confident answers that are factually wrong. SmartSearch is grounded only in your verified data. It cannot return results that are not in your source. Every answer is traceable.
Who at SH builds and maintains SmartSearch?
SmartSearch is built and maintained by SH, a 50 person software engineering team based in Warsaw, Poland. SH has been delivering digital products since 2016 for clients including Siemens, Toyota, Rainbow Tours, and CHOOOSE. The same team that builds your SmartSearch deployment supports it long term.
How do I get started with SmartSearch?
Book a 30 minute call with the SH team. We will review your data sources, your current search setup, and the outcomes you want to improve. You get a clear scope, timeline, and pricing for your SmartSearch deployment.
