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Enterprise Intelligence Platform

Precision
tools for
the intelligent
enterprise

Polabera builds infrastructure-grade intelligence tools that accelerate every process and maximize the value your people create. Engineered for precision. Built for scale.

Series C$180M Raised
EnterpriseFortune 500 Clients
SOC 2 Type IICertified
94%
Process Acceleration
Average reduction in manual workflow time across enterprise deployments
3.2x
Employee Output
Measured increase in productive output per knowledge worker
840+
Enterprise Clients
Organizations running Polabera in production environments
12M
Daily Operations
Automated decisions processed through our platform every day
01 — Products

Intelligence
infrastructure

Three core products engineered to integrate seamlessly into your existing workflows. Each built on our proprietary reasoning architecture, purpose-designed for enterprise scale.

02 — Blog

Insights &
perspectives

Thinking from the Polabera team on enterprise intelligence, operational strategy, and building systems that scale.

03 — About

Built for
what’s next

Polabera was founded on a single conviction: enterprise intelligence should be infrastructure — reliable, precise, and invisible until the moment it matters.

Our Mission
To build the intelligence layer that makes every enterprise process faster, every decision sharper, and every team more capable — without adding complexity.
01

Precision Over Promise

We ship what works. Every claim we make is backed by measurable outcomes in production environments.

02

Infrastructure Mindset

We build for reliability at scale. Our systems run 24/7 in the most demanding enterprise environments on earth.

03

Radical Transparency

Full auditability, explainable decisions, and no black boxes. Our clients understand exactly how their systems work.

04

Relentless Iteration

We deploy weekly. Every product gets faster, smarter, and more capable with each release cycle.

Key Milestones
2019

Founded

Polabera launches from Stanford AI Lab with $4M seed funding and a thesis on process intelligence.

2020

First Enterprise Client

Deployed Polabera Flow at a Fortune 200 financial institution. 10x faster compliance workflows within 90 days.

2022

Series B — $62M

Launched Polabera Insight and Polabera Collaborate. Team grew to 180 across San Francisco, London, and Singapore.

2024

Series C — $180M

840+ enterprise clients. 12M daily automated operations. Named to Forbes AI 50 for the second consecutive year.

Leadership
MR

Maya Russo

Co-Founder & CEO

Former Head of AI Research at DeepScale. PhD in Distributed Systems, Stanford.

JK

James Kimura

Co-Founder & CTO

Built core infrastructure at Stripe and Palantir. Systems architect with 15 years at scale.

SP

Sarah Petrov

VP of Engineering

Led platform engineering at Datadog. Specializes in real-time systems and observability.

DW

David Walsh

VP of Enterprise

Former SVP at Salesforce. 20 years of enterprise sales leadership across SaaS and infrastructure.

Ready to engineer intelligence
into every process?

Get in touch

Whether you’re exploring Polabera for your organization or have a specific question, our team is ready to help.

Enterprise Sales
sales@polabera.com
Headquarters
548 Market St, Suite 72
San Francisco, CA 94104

The Hidden Cost of Manual Compliance Workflows

In the average Fortune 500 company, compliance teams spend 72% of their time on manual data gathering, cross-referencing, and documentation. Not on analysis. Not on strategy. Not on the work that actually reduces risk. The majority of their hours go to tasks that a well-designed system could handle in minutes.

The direct cost is staggering. Large financial institutions employ thousands of compliance professionals, each spending the bulk of their working hours on repetitive manual processes. But the direct labor cost is only the beginning. Manual compliance workflows introduce delays that cascade through the entire organization — product launches held up by review cycles, partnerships stalled by due diligence backlogs, strategic decisions deferred because risk assessments aren’t ready.

Then there’s the error rate. Manual processes in complex regulatory environments produce error rates between 2-5%. That might sound small until you consider the consequences: regulatory fines that can reach into the billions, reputational damage that takes years to repair, and enforcement actions that consume executive attention for months.

The regulatory landscape is making this worse, not better. The volume of regulatory change has increased 500% over the past decade. New frameworks like DORA, evolving data privacy requirements, and increasingly complex cross-border regulations mean that manual approaches aren’t just inefficient — they’re becoming impossible to sustain.

Automation addresses both sides of the compliance equation simultaneously. It reduces cost by eliminating manual data gathering and cross-referencing. And it reduces risk by ensuring consistency, maintaining audit trails, and flagging issues in real time rather than during quarterly reviews. Organizations that have deployed intelligent compliance automation report 60-80% reductions in review cycle time with measurably lower error rates.

The question is no longer whether to automate compliance workflows. It’s how quickly you can do it before the gap between regulatory complexity and manual capacity becomes a material business risk.

Key Takeaways

  • Compliance teams spend 72% of time on manual data gathering — not analysis or strategy
  • Manual processes produce 2-5% error rates with potentially catastrophic regulatory consequences
  • Regulatory volume has grown 500% in a decade, outpacing manual capacity
  • Intelligent automation reduces both cost and risk simultaneously
  • Organizations report 60-80% reduction in review cycles after automation