CUSTARD
webuildcustomAIsolutionsthatturn“what if”into“watch this”

From AI strategy and development to workflow automation and integration. We deploy secure, custom AI systems your team will actually love.

Proudly based in Montreal, Canada 🇨🇦

INDEX
001 — ABOUT





Portrait of Jeremy Turowetz, Co-founder
CO-FOUNDER · CTO

Jeremy Turowetz

25+ years shipping production software

Senior engineer with 25+ years of shipping production software, from flip-phone-era backends to modern AI pipelines. Every solution is engineered with zero operational hand-offs. You collaborate directly with the architect building your systems, bypassing the standard agency friction.

Previously the Marketing Tech Lead at Bessemer-backed Unito, Jeremy engineered the cloud infrastructure, large-scale content automation, and data orchestration pipelines that powered their commercial growth engine. He bridges the critical gap between heavy technical architecture and frontline business strategy.

A veteran of full-stack engineering and complex system design, he has spent decades architecting dynamic web applications, proprietary databases, and enterprise API integrations for global brands including Reebok, Suntori, and Brother.

Zero bloat, just production-grade execution.

Portrait of Sebastien Helary, Co-founder
CO-FOUNDER · CEO

Sebastien Helary

COMMERCIAL STRATEGY & ROI ARCHITECTURE

The commercial strategist behind every Custard build. Sebastien bridges the critical gap between complex technical engineering and frontline business reality. He tears down operational bottlenecks to find exactly where custom AI will drive measurable ROI, ensuring seamless communication between the client and the architect.

A veteran of multi-million dollar e-commerce environments, he previously managed the comprehensive technical and content SEO strategy for major North American retailer La Vie en Rose. Prior to that, he built the search department at a dedicated e-commerce agency from the ground up, scaling the portfolio to over 30 enterprise accounts while managing the execution teams.

With over a decade of entrepreneurial experience building digital platforms from scratch, he brings an operator's mindset to AI deployment. He leverages his deep expertise in data architecture, search visibility, and AI content frameworks to guarantee every technical build solves a genuine commercial problem.

No theoretical use cases, just strategic leverage.

002 — SERVICES




01Capability

Strategy & Audits

We find where AI creates actual business value and ignore the hype. From a baseline AI audit and readiness assessment, we build a practical AI strategy and handle straightforward team training.

Most businesses don't need a massive transformation; they need targeted leverage. We map your existing data infrastructure against real commercial outcomes, telling you exactly what to build, what to buy, and what to ignore.

  • infrastructure and data viability checks
  • commercial ROI mapping
  • build vs. buy technical analysis
02Engineering

Custom Systems

Custom AI agents, RAG systems, and generative AI tailored for internal knowledge bases. Production-grade LLM builds designed securely around your own data, not generic templates.

We don't bolt thin wrappers onto public APIs. We architect private, low-latency systems that parse your unstructured data with precision—giving your team exact answers without ever exposing your IP.

  • private, localized LLM deployments
  • hallucination-resistant RAG architecture
  • autonomous multi-agent systems
03Operations

Automated Workflows

Replacing operational drag with true business process automation. From document intelligence and automated reporting to video transcription, your workflow automation is handled end-to-end.

High-volume, low-judgment tasks shouldn't require human routing. We script resilient pipelines that read, extract, and format your operational data autonomously, cutting hours of manual processing down to seconds.

  • unstructured data extraction
  • autonomous routing and formatting
  • zero-touch operational reporting
04Integration

Integration & Hosting

Seamless AI integration plugged directly into your CRM, ERP, or email stack. We handle the MLOps, maintenance, and local hosting with strict Canadian data residency and PIPEDA compliance.

A disconnected AI system is a liability. We wire these models directly into the software your team already uses, ensuring they remain fast, secure, and fully compliant under Canadian privacy laws.

  • native ERP and CRM event triggers
  • continuous MLOps and latency monitoring
  • on-premise or localized secure hosting
003 — PROCESS

How anengagementworks.

A disciplined four-stage path from messy real-world ops to shipped, measured AI systems.

01 / Stage

Discover

Map the workflow, the data, and the real constraints.

02 / Stage

Pilot

Ship a narrow, working system into the business in weeks.

03 / Stage

Build

Harden, integrate, and scale it across the team.

04 / Stage

Scale

Operate, measure, and expand to adjacent workflows.

004 — WHY CANADIAN

Why Canadiancompanies workwith us.

01

Canadian team & data residency

All work happens in Canada. PIPEDA-aware from day one; data stays where it should.

02

Senior engineers only

No offshoring, no junior-stacked teams. The people scoping your work also build it.

03

Fixed outcomes, not hourly bodies

We sell a working system on a calendar — not a Jira queue.

04

Production over demos

Every engagement ships into your operations. Pilots are step one, not the deliverable.

005 — FAQ

Commonquestions.

What does an AI agency do?

A custom AI agency designs and ships AI systems built around a specific business — its data, workflows, and constraints. At Custard, that means strategy, engineering, and integration end-to-end, not pre-baked tools or generic chatbots.

How much does custom AI development cost?

Most engagements land between $40k and $250k+ depending on scope, data complexity, and integration surface. We scope to a fixed outcome with a fixed price, so you see the full number before signing — not an open-ended hourly bill.

How long does a custom AI project take?

Pilots typically run 3–6 weeks. A first production system is usually shipped within 8–14 weeks. We optimize for getting something real into your operations quickly, then expanding from there.

Do you work with small and mid-sized businesses?

Yes. Most of our clients are Canadian SMBs and mid-market B2B companies with real operational workflows worth automating. We tune scope and budget to the stage you're at.
006 — LET'S TALK