Ottawa, Canada • Bilingual EN / FR

AI agents that survive production. Observable. Auditable. Economically sound.

Guumel makes AI systems production-ready — observability, evals, cost control, and the data foundation that holds underneath. Fifteen years of pipelines before the first LLM, and systems that move real metrics — not slide decks.

15+ yrs

Databricks · Snowflake · Azure · GCP · AWS

Prod-grade

LangGraph · LlamaIndex · LangSmith · Phoenix

Partner

Not just a vendor

Guumel icon

Snapshot

Guumel Operating Canvas

Engagements open

Focus areas

01

Agent reliability: evals, observability, cost control.

02

Data foundations for AI, with Canadian data residency.

03

Data & AI strategy aligned with business outcomes.

04

Fractional data & AI leadership.

Typical engagement

2–4 wk audits · 6–12 wk builds

Outcome

Systems that keep delivering after we leave

A consulting studio built for the AI era.

Guumel combines deep hands-on experience in data engineering, analytics, and AI with a pragmatic consulting approach. We operate as an extension of your team — translating ambiguity into concrete architectures, roadmaps, and shipped solutions.

Whether you're hardening an AI agent that already ships, modernizing your data foundations, or clarifying your AI strategy, you get senior-level thinking from day one, not a rotating cast of juniors.

Guumel is led by Djiby Sow, AI Agent Engineer & Data Architect, based in Ottawa. Fifteen years across data platforms for financial services and insurance, and production AI agents since 2024. English and French.

Where Guumel is a strong fit

  • You've shipped an AI agent and can't yet prove what it did, what it costs, or where it fails.
  • You have data and systems, but they aren't yet driving decisions or automation.
  • You want AI in production, not just innovation lab experiments.
  • You value a partner who can talk to executives, architects, and engineers in the same conversation.

Services

Flexible, outcome-driven engagements that connect strategy, architecture, and delivery. Each project is tailored, but typically blends several of these pillars.

01 • Agent reliability

Agent Reliability & Production Hardening

For teams that have already shipped an AI agent or copilot and now need to prove what it does, control what it costs, and keep it from going rogue. Fixed-scope, 2–4 week engagements.

  • • Observability & evaluation pipelines (LangSmith, Arize Phoenix)
  • • Token & cost audits, model routing, latency tuning
  • • Guardrails, red-teaming & audit trails for regulated domains

02 • Foundations

Data Foundations for AI

Design and implement modern data foundations so your teams can trust the numbers and your agents have something solid to reason over.

  • • Cloud data & lakehouse architecture (Databricks, Snowflake, Azure, GCP)
  • • ETL/ELT pipelines, semantic modeling & RAG-ready context layers
  • • Governance, Canadian data residency & sovereign deployment options

03 • Strategy

Data & AI Strategy & Roadmaps

Clarify where data and AI can create real leverage and design a pragmatic roadmap that fits your business, people, and constraints.

  • • Executive discovery & use-case framing
  • • Capability and maturity assessments
  • • Prioritized opportunity portfolio & ROI cases

04 • Advisory

Fractional Data & AI Leadership

Ongoing strategic support as a fractional head of data/AI, keeping initiatives coherent, grounded, and moving.

  • • Portfolio and vendor reviews
  • • Operating model & governance
  • • Coaching for internal leaders

Selected work

Names are anonymized; details available in conversation. The common thread: practical delivery and measurable impact.

Data platform

From siloed reports to integrated operations view

Designed and implemented a unified data layer for a multi-site clinic network, giving leadership real-time visibility into capacity, wait times, and bottlenecks.

Result: clearer prioritization, better resource allocation, and more predictable patient experience.

Agents in production

A multimodal AI agent serving real customers 24/7

Designed and deployed a LangGraph-based agent handling text and image inputs over SMS, with state management, tool orchestration and continuous evaluation in production.

Result: 99.9% uptime, sub-second responses, and a 40% cut in token spend at equal output quality.

Analytics & automation

Analytics & automation for a lean team

Helped a boutique firm standardize their data, build core dashboards, and introduce targeted automation for repetitive knowledge work.

Result: better visibility, less manual work, and more time for high-value client delivery.

RAG in a regulated domain

Multi-agent document generation with compliance checks

Built a four-agent system over a vector knowledge base to draft, validate and review regulated documents across jurisdictions, with encryption, audit logging and evaluation tooling throughout.

Result: 95% accuracy on compliance checks and a 60% shorter review cycle.

Let's work together

Ready to explore what we can build together?

Pick a 30-minute slot directly, or send a short note about your context and the outcomes you care about.

Calls are in English or French. No pitch deck required — bring the problem.