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DataInn Technologies

Data · AI · Security

The data foundationyour AI runs on,secured end to end.

DataInn builds governed data platforms, the analytics, models and agents that run on them, and the security that protects all of it — from raw sources to trusted decisions, with teams in Toronto and Dubai.

  • 2

    Hubs · Toronto & Dubai

  • 6 wk

    To first pilot

  • 3

    Connected practices

Data foundation

Build it

Applied AI

Make it intelligent

Cybersecurity

Keep it safe

  • Databricks
  • Snowflake
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Apache Kafka
  • dbt
  • Apache Spark
  • Microsoft Fabric
  • BigQuery
  • Terraform
  • Kubernetes
  • Microsoft Sentinel
  • Model Context Protocol

01What we do

Three practices, one team.

AI programmes stall on data, data programmes stall without use cases, and both stall when security is bolted on at the end. We run all three together.

02Reference architecture

Governed end to end — and protected all the way round.

Sources feed a governed foundation. The foundation activates analytics, models and agents. A protection layer wraps the whole system: identity, data security, monitoring and AI guardrails.
Protection layer
  • Identity & zero trust
  • Data security
  • Cloud posture
  • AI guardrails
  • Detection & response

01 · Sources

  • ERP · CRM · EHR
  • Events & IoT
  • Documents & files
  • SaaS & partner APIs

02 · Data foundation

  • Ingestion & pipelines
  • Lakehouse / warehouse
  • Master data & quality
  • Catalog, lineage, access

03 · Activation

  • Analytics & metrics
  • ML models
  • LLM apps & RAG
  • AI agents with human gates
Ownership
Your cloud, your repos
Quality
Tests & contracts in CI
Oversight
Humans at named gates

03Projects

Work across all three practices.

See all projects

Case studies

Case studies are being prepared with our clients' permission. Talk to us for references.

04Products

Software we build and operate.

The same engineering, applied to our own products.
  • Accounting
  • Open source
  • Self-hosted

SimpleAccounts

Open-source accounting software

Open-source, self-hosted accounting for businesses that want to run it on their own infrastructure, adapt it to their needs and keep full control of their financial records.

  • Self-hosting
  • Customisation
  • Data control
  • Open source
  • Healthcare
  • ABA
  • Practice management
  • Canada

TherapyCRM

Practice management for pediatric therapy teams

A practice management platform for Canadian pediatric and autism therapy teams — scheduling, treatment plans, ABA data collection, SOAP notes, a family portal, OAP funding tracking and billing in one system.

  • Scheduling
  • Multi-location
  • ABA data collection
  • Treatment plans & goals

Built and operated by DataInn

How we work

Assess, build, operate.

Short increments that each leave you with something decision-ready, testable or usable.

012–3 weeks

Assess

We review your data estate, use cases, security posture and readiness — and you get a roadmap and business case whether or not you continue with us.

  • Data estate & platform review
  • Use-case inventory & readiness scoring
  • Security posture snapshot
  • Roadmap & business case
026–12 weeks per increment

Build

Cross-functional squads ship production increments with tests, documentation, security controls and named owners.

  • Production pipelines, models or agents
  • Tests & contracts in CI
  • Security built in, not bolted on
  • Docs & runbooks
03Ongoing · optional

Operate

We run it alongside you, or hand it over. Either way there are SLAs, cost governance, evaluation and continuous improvement.

  • SLAs & on-call
  • Cost governance
  • Evaluation & monitoring
  • Handover when you're ready

Engagement models

Work with us the way that fits.

  • 01

    Advisory

    Strategy, architecture and vendor selection with senior practitioners.

    Best for: direction

  • 02

    Delivery squad

    A dedicated team that owns an outcome end to end.

    Best for: outcomes

  • 03

    Embedded engineers

    Senior data, AI and security engineers working inside your team and tooling.

    Best for: capacity

  • 04

    Managed platform

    We operate your data platform, AI workloads and security monitoring to agreed SLAs.

    Best for: run

05Corporate AI training

Build AI fluency where decisions happen.

Role-based training built around your workflows, data and policies — not generic demos.
Explore training
  • 2–3 hours

    Executive AI briefing

    Executives

    What AI can and cannot do, where the value is, and how to govern it.

  • 1–2 days

    Practitioner labs

    Data & engineering

    Hands-on labs on your own use cases: RAG, agents, evaluation and MLOps.

  • 4–6 weeks

    Team enablement programme

    Product & operations

    Structured adoption with playbooks, coaching and measurable outcomes.

06Industries

Built for regulated, data-heavy work.

  • Financial services

    Reconciliation, risk data, regulatory reporting and fraud.

  • Healthcare

    Clinical data, patient records and privacy-first AI.

  • Manufacturing

    IoT telemetry, quality, forecasting and supply chain.

  • Retail

    Customer and product master data, demand and personalisation.

  • Professional services

    Document-heavy workflows, knowledge assistants and automation.

  • Public sector

    Data sovereignty, secure cloud and responsible AI.

07Insights

Notes from the work.

All insights
  • Security · 2 min

    Securing RAG pipelines: a practical checklist

    Retrieval-augmented generation moves your documents into a new kind of system. Here is where the risks sit — ingestion, retrieval, generation and logging — and the controls that matter at each stage.

    Read article →
  • Security · 2 min

    Prompt-injection defence for AI agents

    Filters alone will not stop prompt injection. The durable defence is architectural: assume the model can be tricked, and design so that a tricked model still cannot do much harm.

    Read article →
  • Security · 2 min

    PIPEDA vs UAE PDPL: a quick guide for teams operating in both

    Canada's PIPEDA and the UAE's Personal Data Protection Law share principles but differ in scope, consent and transfer rules. A side-by-side overview for organisations working across both markets.

    Read article →

45-minute readiness call

Tell us where your data — or your security — is letting you down.

A senior practitioner, your situation, and an honest view of what to fix first.