Aarav Desai
Chief AI Architect
Former Google AI research lead, now guiding AI product strategy, responsible AI frameworks, and MLOps platforms for enterprise teams.
What drives us
We combine deep technical expertise with a product mindset so every initiative delivers measurable business impact, not just technical artifacts.
How we operate
Cross-functional squads embed with your teams, co-own outcomes, and transfer knowledge through playbooks, code, and capability enablement.
Where we focus
Regulated industries, mission-critical products, and high-growth companies who need AI, cloud, and DevOps to work together seamlessly.
Leadership collective
Seasoned leaders across AI, cloud, SRE, and product disciplines provide hands-on guidance on every engagement.
Mia Chen
Head of Cloud Platforms
Architected multi-cloud landing zones for Fortune 500 teams; specializes in governance, FinOps, and secure modernization.
Noah Alvarez
Head of Platform Engineering
Built developer platforms at high-growth SaaS companies; leads SRE enablement, GitOps automation, and observability programs.
Isabella Hart
Director of Product Strategy
Aligns AI and platform investments with executive goals, shaping roadmaps with clear KPIs and stakeholder communication plans.
Zayne Kapoor
Delivery & Operations Lead
Ensures programs stay on track with agile governance, risk management, and transparent reporting.
Priya Raman
Head of Talent & Enablement
Champions continuous learning, pairing client teams with specialists and running tailored enablement labs.
Our operating model
An end-to-end approach keeping strategy, delivery, and operations aligned—without hand-offs that slow momentum.
01
Discover & align
Co-create goals, constraints, and measures of success with product, legal, and operations stakeholders.
02
Build & validate
Ship iterative increments with automated testing, AI guardrails, and security reviews integrated.
03
Operate & elevate
SRE pods, FinOps, and enablement programs ensure long-term adoption and measurable ROI.
Principles that guide every engagement
- • Tie every initiative to board-level metrics and business value.
- • Architect with security, compliance, and responsible AI by default.
- • Create playbooks and training to leave teams stronger than we found them.
Global footprint
Hybrid teams across North America, Europe, and APAC provide timezone coverage and local regulatory context.
- • Delivery hubs in Toronto, London, and Bengaluru
- • AI research partnerships with leading universities
- • SOC 2 Type II workflows and ISO 27001 aligned practices
2018 — Founded to bridge AI & cloud
A team of platform engineers and AI researchers joined forces to deliver production-ready intelligent systems.
2020 — Expanded to DevOps & SRE
Added dedicated DevOps and SRE practices to deliver holistic platform transformation for regulated clients.
2023 — Launched Responsible AI Lab
Established research partnerships and governance frameworks to help clients launch trustworthy AI products.
Today — Embedded partners
Operate as long-term partners delivering measurable improvements across AI, cloud, and DevOps programs.
Culture & commitments
We invest in our people and partners so innovation is sustainable.
Continuous learning
- • Dedicated research budget and labs
- • Pairing programs across disciplines
- • Weekly knowledge share sessions
Inclusive teams
- • Remote-first collaboration practices
- • Employee resource circles
- • Mentorship for emerging leaders
Client enablement
- • Tailored enablement labs and workshops
- • Co-delivery with embedded squads
- • Open playbooks and tooling accelerators
Responsible innovation
- • Ethical AI review boards
- • Security & compliance by design
- • Sustainability scorecards
Let’s build what’s next together
Share your vision for AI, cloud, or DevOps—we’ll assemble a cross-functional squad tailored to your goals.