Services

Services

• AI solutions and agents

  Problem

  An AI prototype is easy to demo and hard to trust with real decisions.

  What we do

  We build LLM applications, multi-agent systems and agentic workflows that are explainable and auditable, with people in the loop where it matters.

  Outcome

  AI your team, your auditors and your regulators can follow: every decision structured, explained and recorded.

• Intelligent automation

  Problem

  Rule-based RPA stops where the work becomes unstructured: emails, documents and free-text applications.

  What we do

  We add AI where RPA stops: reading and triaging emails and documents, drafting replies, communications mining, claims and application intake, and fraud and anomaly signals. It complements your existing automation program rather than replacing it.

  Outcome

  Automation reaches work that used to need a person to read it first, and people still review what matters.

• Insurance and healthcare AI

  Problem

  Claims and medical evidence arrive as documents, images and notes, and they carry sensitive personal data.

  What we do

  We build document and medical-evidence understanding, communications mining, plan design and claims-integrity support, with privacy by design from the first line of code.

  Outcome

  Systems designed for PIPEDA and GDPR, with HIPAA-grade handling of personal health information.

• Data platforms and analytics

  Problem

  Decisions get made on data that is scattered, stale or hard to trust.

  What we do

  We do data engineering, build dashboards and portfolio analytics, and forecast, including financial and operational forecasting.

  Outcome

  One current, trusted view of your assets and operations, and forecasts you can act on.

• Custom enterprise software

  Problem

  Off-the-shelf software doesn’t fit the way a complex organization actually works.

  What we do

  We take systems from architecture to production on Java/Spring Boot, SvelteKit, PostgreSQL, Keycloak and Docker, and build Microsoft Power Platform front ends with Azure AI back ends.

  Outcome

  Software built around your process, and built to run in production.

• Scientific and engineering computing

  Problem

  Engineering models that are accurate enough are often too slow for the decisions they support.

  What we do

  We build simulation and numerical methods, GPU computing and AI-accelerated simulation, grounded in the underlying physics and mathematics.

  Outcome

  Faster answers without giving up the physics. On Meera Simulation, coupling a PDE solver with a deep neural network cut engineering timeframes from months to weeks to days.

• Fractional CTO and technical advisory

  Problem

  You need senior technical leadership before you need a full-time CTO.

  What we do

  We advise on architecture, AI strategy and roadmaps, and help you build the team.

  Outcome

  A clear technical direction, and a team able to deliver it.

• Communications mining

  What it does

  Classifies every email by intent and urgency and routes it to the right team, drafts replies for a person to approve, and mines emails, call transcripts and chats for complaints, churn and fraud signals.

  Built on

  Sentiment, topic and trend extraction in production; structured AI judgments with a written rationale and an audit trail; every model call traced with its cost.

• Data mining and insight

  What it does

  Brings claims, policy, payment and customer data into one reliable platform, with live dashboards instead of month-end reports. It finds trends, anomalies and exposure, and each team sees only its own scope.

  Built on

  More than 800,000 national work permits in one system, live within six months; ingestion of every major engineering data format, binary and proprietary included; “evergreen” dashboards across a national portfolio.

• Plan design without spreadsheets

  What it does

  Turns a large catalogue of plan options into structured data with rules. A guided builder checks every combination as it is chosen, an assistant suggests options and says why, and the plan document is generated with a full version history.

  Built on

  Deterministic state machines with scored gates that no model output can bypass; AI-accelerated engineering models that replaced months of manual iteration.

• Claims and fraud decision support

  What it does

  Scores every claim with a written rationale and checks that the treatment fits the diagnosis and the history. Routine claims take a fast lane; edge cases go to an adjuster, and required steps can’t be skipped.

  Built on

  Diagnostic and prescription-safety AI shipped in a national health system, with an independent LLM judge measuring quality against expert labels.

• Data stays in Canada

  Canadian cloud regions and Canadian-hosted AI models, or open models we host in Canada, when your data must not leave the country.

• Privacy by design

  Personal and medical details are replaced with tokens before any model sees them.

• Every decision on record

  Each AI call is logged with its input, output, rationale and cost.

• People stay in charge

  Low-confidence cases go to a person, and business owners change rules without a release.

• Your environment

  Delivered in your Microsoft tenant, with Power Platform front ends, if you prefer.

• Start safely

  Pilots run on synthetic or de-identified data. Real data comes in only with your written approval.

1. 1

   Discover

   Map one or two workflows with your team, and take stock of the data and systems behind them.

2. 2

   Pilot

   One high-volume workflow, on synthetic or de-identified data, with people in the loop.

3. 3

   Measure

   Against baselines agreed up front, on all four steps of the value chain below.

4. 4

   Scale

   Roll out with governance, audit trails and controls on AI cost.

• Insurance and health
• Finance
• Energy (oil and gas)
• Government
• Hospitality
• Wellbeing and coaching

1. 1

   Attitude

   How the people who will use the system see it: whether they trust its output, and whether they are ready to change how they work.

2. 2

   Behaviour

   What they then do differently: the work they hand to the system, the decisions they make with better evidence, the manual steps they drop.

3. 3

   Business impact

   What changes for the organization as a result: faster turnaround, fewer errors, stronger compliance, and time freed for higher-value work.

4. 4

   Financial impact (ROI)

   What that is worth: the business impact expressed in money, set against the cost of building and running the system.