About
PolyCloud is a firm built on a simple idea. We sit down with business owners to find where time, money, or attention is leaking — including the gaps they haven't spotted themselves — then design, build, and operate the fix end-to-end.
That could mean a machine learning model forecasting which customers will churn, a deep-research agent tracking competitor moves every morning, a data pipeline turning raw operations numbers into weekly decisions, a workflow automation removing hours of manual work, a dashboard replacing ten spreadsheets, or taking over the digital marketing entirely.
You get the outcome. We handle everything behind it.
Founded
2020
Headquarters
Hyderabad, India
Clients served
Selective — small by design
Engagement length
From 2-week audits to multi-year retainers
01 / Principles
Five operating principles that govern what we build, what we decline, and how we decide. We'd rather be specific and wrong than vague and safe.
A report tells you what's broken. A system fixes it — continuously. Every engagement ends with something running, not something documented.
Fit matters more than revenue. We've said no to roughly 60% of intros — not because we're precious, but because we couldn't believe the underlying thesis, or the client wanted AI-as-decoration, not AI-as-infrastructure. Short list of clients, longer time per client.
Paid-acquisition dashboards, server logs, conversion funnels, actual production telemetry. We plan from what the instruments show, not from what sounds right in a meeting.
The best systems we've built aren't visible. They run in the background while teams sleep — and the operator notices only because the dashboard kept moving up.
If a technique sounds magical, we can't defend it under a CFO's scrutiny. We work in mechanisms — input, transform, output — and name them in plain language.
Dogfooded internally. The same framework we deploy for clients — AgentOS — runs PolyCloud's own operations. We do not ship anything we wouldn't trust with our own work.
02 / What we've built
Most firms describe their stack as a list of public tools anyone can rent. Our moat is the layer above it — data pipelines, agent runtimes, and decision systems we own. Each engagement makes the next one faster.
Research, on tap
LabsWeekly intel and deep due-diligence reports that would take a human analyst months. You get defensible, cited, PhD-grade synthesis across your sector — delivered in days.
AI employees that fit your team
ConsultingAgents trained on your vocabulary, your data, and your approval gates — not a generic copilot. They fill a real seat on your ops team, and they come with the audit trail a CFO can defend.
India data, ready to ship
Digital + ConsultingLive access to Tally, GSTN, MCA, eCourts, EPFO, Vahan, DGCA, and WhatsApp Business — the data sources most SaaS vendors leave on the table. You move first on things competitors can't even see.
Forty-hour workflows, done overnight
DigitalGSTR-2B reconciliation, ITC-at-risk flagging, vendor follow-ups — the monthly grind collapses from a week of CA hours into an evening of review. Output is the audit-trail-ready artefact your filing team expected.
Alt-data signals, before the market sees them
Labs + opsPrivate pipelines from aviation, mobility, retail, and regulatory disclosures — turned into signals that appear in portfolio briefings before they show up in price charts. Backtested, deployed, and monitored.
Decisions with a paper trail
All engagementsEvery recommendation you get is defended by an adversarial review — the logic is written down, the sources are cited, and anyone on your team can trace the reasoning. Scrutiny-proof by design.
We own the logic, we rent the substrate — so the artefacts you take home are yours, and the compute bill doesn't move the needle on your ROI.
Work with us
Fifteen minutes to tell us what you're building. Fifteen more to tell you — honestly — whether we're the right team for it, or whether you should talk to someone else entirely.