picture an engineering team without any source code. no repository. no version history. no shared understanding of what changed, why it changed, or who changed it.
unimaginable.
engineering solved coordination, versioning, and accountability early. the rest never built these foundations. all teams encounter the same issues that shaped git and linux: speed, teamwork, complexity, and ongoing change.
now look at the rest of the organisation. decisions vanish in meetings. context scatters across docs, chat, and unwritten tribal knowledge. teams repeat old mistakes because nothing lives in one place. we have normalised a workflow that engineering would reject outright.
strong systems last, as linus torvalds showed. they thrive not because they are smart, but because they can grow without breaking. we cannot imagine engineering without source code. yet that is exactly how most organisations still operate.
individuals adopt ai at a rapid pace. teams slow down. organisations get stuck.
current ai tools are session-bound. they help one person and forget. they can't contribute to the team since there isn't one place where knowledge builds and grows.
as ai speeds up execution, missing context becomes costly. decisions move faster but fail more often. coordination overhead goes up. teams become agile in local contexts but fragile in global contexts.
the missing layer isn't more intelligent.
it's a shared workspace for humans and ai to work together. it's the only place where all intelligence comes together.
to thrive in an ai-first world, organisations need to follow engineering's lead. they should create one unified system where work, decisions, and context grow together.
this system must:
projects run end-to-end on the platform. this covers planning, execution, decisions, and deliverables. meetings, documents, tasks, and outcomes stay connected. context moves with the work.
ai agents ask questions, flag conflicts, propose next steps, and prepare outputs. humans steer, review, and approve. every change is traceable.
it's the workspace where teams actually get work done and not a knowledge archive.
we're building it with teams running real projects, not experiments. they ship on the platform and see better results. this happens because the context remains intact and the system can grow.
this is where ai-first organisations will operate.
prateek jogani (co-founder): 4x founder. previously, co-founder and cto of fairdee, where he led technical architecture through the company's scaling phase and subsequent acquisition by qoala. subsequently served as group cto of qoala, scaling it from <usd 5m to usd 100m+ arr as southeast asia's largest insurtech platform.
yujun chean (co-founder): previously, co-founder and ceo of fairdee, having worked with prateek for 7 years, scaling the company to become thailand's largest retail insurance broker. served as group coo of qoala, leading commercial, product, operation, finance and hr functions during its growth to usd 100m+ arr, and usd 100m+ raised.
our current team includes rishabh, amal, mohit, and sanjay — key engineering leaders who have been building cred for the last six years.
and 3 more young cracked engineers and designers.
traction: 3 enterprise-scale alpha customers in d2c, insurance and fintech sector
geographic focus: us-registered, targeting us and south asia markets.