What is Hilo Intelligence?

Hilo Intelligence is a private AI platform deployed directly on your infrastructure. It provides access to multiple AI models (ChatGPT, Claude, Gemini, etc.), automation tools and business intelligence, all without your data leaving your servers.

Does my data stay private with Hilo Intelligence?

Public AI tools log conversations, train on your inputs and tie every user to a consumer account. Hilo Intelligence routes requests through our private gateway to model providers under enterprise contracts. No training on your data, nothing kept on external servers. Your documents, knowledge base and history live on your infrastructure.

What types of processes can be automated?

You can automate invoicing, client follow-ups, report generation, notifications, cross-application workflows and any recurring administrative task.

How long does deployment take?

Deployment follows three steps: installation on your infrastructure, connection to your data sources and team training. The process is fast and adapted to your environment.

Our technology expertise

Data Structuring for AI

Raw

Structured

AI ETL

Your data scattered across emails, files, and Excel becomes a structured asset that AI can exploit.

AI is only useful if your data is clean, structured, and accessible. We clean, normalize, categorize, and index your scattered data to make it ready to be used by AI, dashboards, and automated workflows.

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Overview

Your data is sleeping, let's wake it up

Most SMBs accumulate valuable data in silos: local Excel sheets, archived emails, PDF files, poorly populated CRM databases, historical exports never consolidated. This data contains answers (who are your best customers? which products have the best retention rate? which months generate the most complaints?): but it's inaccessible until it's structured. Our ETL and structuring service takes this raw data and transforms it into an analytical asset usable by AI and dashboards.

What we deliver

01

Data ecosystem audit

Mapping of your sources: where is your data, who modifies it, how does it flow, what are the contradictions and duplications.

02

Cleaning and normalization

Correcting entries (inconsistent dates, malformed emails, duplicate clients), format normalization, value validation.

03

AI categorization

For unstructured data (support emails, free descriptions), AI automatically categorizes per your business taxonomy.

04

Automated ETL pipelines

Periodic extraction from your sources (CRM, ERP, files), transformation and loading to a central database (PostgreSQL, BigQuery, Snowflake).

05

Vector indexing for RAG

Generation of embeddings on textual data to enable semantic search and use by AI agents.

06

Documentation and lineage

Documentation of every field, its provenance, and its transformation. You always know where data comes from.

Our approach

How we structure your data

1

Audit and mapping

Inventory of all your sources, identification of quality issues, prioritization of which data to structure first (by ROI).

2

Initial ETL pipeline

Building extractors, cleaning scripts, target schema. Validation on historical data.

3

Production deployment

Automatic periodic synchronization, anomaly alerts, pipeline health dashboard.

4

Continuous evolution

Adding new sources, adjusting to business changes, integrating with new AI and BI tools.

Why Hilo Tech

Why our data pipelines hold up over time

Pragmatic approach, we structure what brings value, not everything on principle.

Continuous validation, automatic alerts when a pipeline produces aberrant data.

Systematic documentation, your team can maintain pipelines after our intervention.

Canadian hosting, your data stays in Canada, Law 25 compliant.

Compatibility with your existing BI stack, Power BI, Tableau, Looker, Metabase.

Frequently asked questions

How long does data structuring take?

For a typical SMB project (3-5 sources, ~10 target tables): 4 to 8 weeks for first production. Subsequent iterations (adding sources, new use cases) take 1-2 weeks each.

Do we need to buy Snowflake, BigQuery, or other expensive data warehouse?

No. For most Quebec SMBs, PostgreSQL or DuckDB are largely sufficient and cost a fraction of the price. We recommend Snowflake/BigQuery only if volume justifies it (above several TB).

What do you do if our data contains historical errors?

We document detected errors, propose correction rules, and apply in agreement with you. Unrecoverable errors are marked as such in the target database (a 'data_quality_issue' field) rather than silently masked.

Are your pipelines maintainable without you?

Yes. Everything is documented in standard SQL and readable Python (no esoteric framework). Your team or any other provider can take over. We also offer an optional maintenance contract if you prefer.

What happens if one of our sources changes (new CRM version, etc.)?

The pipeline detects incompatibility and alerts. With a maintenance contract, we fix. Without contract, your team can fix following the documentation.

Maximum IT Efficiency

Discover your business's performance potential with the latest information technologies.

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