AI is rarely the hard part: the judgement to create value is.

Organisations already have access to increasingly capable technology. The harder problem is knowing where to apply it. Then comes actually building it into real workflows, fast enough to prove it was worth doing. Prople was created around that gap.

Senior enough for shaping the decisions. Technical enough for the build.

Prople combines commercial and technical capability deliberately: strategists who stay through the build, and engineers who sit at the investment-decision table.

Commercial operators

Come from operating and investment roles, not consulting, so they know what a decision actually costs.

AI builders

Write the code themselves, rather than handing off to a separate implementation team.

Embedded delivery

Stay inside your team for the length of the engagement, not just the kickoff and handover.

Leadership.

Sareen Gogi

LinkedIn ↗

Founder & Principal AI Consultant

Sareen Gogi is a hybrid AI operator, equally at home advising a C-suite on an AI roadmap and writing the code that ships it. At Prople, he works as an expert AI consultant, working directly inside businesses to take AI from discovery through architecture, build, and production, across large enterprises and growth-stage companies. Previously, he spent over a decade at Quantium as an executive running global service delivery, building a 150+ person, top-talent delivery organisation. These days, he'd rather be in the code than in slideware.

We are AI native.

Expert teams, on demand

We hire and engage top talent that can solve tough business problems for our customers. Through our extensive networks into talent pools in Australia, India, and the USA, we onboard the best-fit talent for specific, specialised requirements. We don't mass-hire or do staff augmentation.

AI-native infrastructure

We work with AI-native infrastructure and tools to custom-build what's best for the job, for our clients and for running our own business: frontier LLM models, open source, and internal platforms.

Embedded AI agents

We build AI into all our workflows and processes, including coding, delivery, and management. We even run our own business this way. We have built context, harness, and loop engineering processes to enable AI agents to work alongside humans, combining what each does best.