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Build your workforce, that never clocks out

AI employees, custom software and algorithms, built with you.

Company introduction · 2026

What we do best

Three ways we take work off your team.

AI agents

Agents on the work that costs the most

Customer service agents
Voice agents
Back-office automation
Sales and lead agents
Private and local LLMs
Integrations, guardrails and handoff

Custom software

Software fitted to the operation

Internal tools and workflow apps
Dashboards and data platforms
Customer apps and portals
System integrations and APIs

Algorithms

The costly decisions, settled by the numbers

Scheduling and workforce planning
Demand and sales forecasting
Route optimisation and order dispatch
Dynamic pricing and revenue management

AI agents · The work with the volume

Agents on the work that costs the most

Service, voice, back office, sales, private models, and a handoff you can trust.

Customer service agents

The largest cost line for most companies, and the result is easy to measure.

Voice agents

Phone work is large, hard to staff, and the before-and-after is plain to see.

Back-office automation

Document extraction and other repetitive work, at a volume that saves hours directly.

Sales and lead agents

Slow follow-up loses leads. This one is tied to revenue.

Private and local LLMs

Regulated work cannot send data to a public model. This is where we differ.

Integrations, guardrails and handoff

Agents act inside your systems, and stay inside the limits you set.

Demand covered without hiring another shift

Hours back from service, phone and document work

Money, judgement and relationships go to a person, context attached

Custom software · The tools people open

Software fitted to the operation

Internal tools, one set of numbers, customer apps, and the links between systems.

Internal tools and workflow apps

A fast win that replaces the spreadsheet the team actually runs on.

Dashboards and data platforms

Faster decisions, and the ground the other systems stand on.

Customer apps and portals

A direct relationship with the customer, and less load on the service team.

System integrations and APIs

Most companies run ten or more tools that do not talk to each other.

The spreadsheet the team runs on, replaced

One figure the room can decide from

Customers served without adding another line

Algorithms · The plan, on a deadline

The costly decisions, settled by the numbers

Scheduling, forecasting, routing and price, inside the rules you set.

Scheduling and workforce planning

Labour is the largest cost in many businesses. Days of planning become minutes.

Demand and sales forecasting

Sharper staffing, stock and cash planning, and an input the other algorithms use.

Route optimisation and order dispatch

Less fuel, less time, lower cost, and deliveries that arrive sooner.

Dynamic pricing and revenue management

Often the fastest gain in margin.

A rota in minutes, not days

Staff, stock and cash planned from the same forecast

Fuel, idle time and margin taken back into the plan

Proven where the stakes are high

Finance, healthcare and hospitality.

Healthcare

AI scheduling that hospitals run on

hospitals live

50 h

saved on planning per hospital each month

3 min

for a full schedule, instead of 2 days

Hospitality

Apps, forecasting and data for multi-store chains

11,000+

app users

20 h

saved on staff planning per store each month

23%

uplift from data-driven campaigns

Finance

Trading technology at institutional standards

~$5M

managed on our algorithms

99%

system uptime

1,000+

trades executed every month

Who we are

Since 2022, Panda Analytics has helped companies and founders across Europe and Asia turn ideas into working products.

We take a product from 0 to 100: from shaping the idea and making a clear plan, to building it and keeping it running as it grows.

We see ourselves as a tech partner rather than a supplier. We think along, share honest opinions and decide together with you how to take the product forward. How we work together is flexible: we can be your tech team for as long as you need, or build the foundation and help you set up your own team later.

Everything in-house

Product, design, development, data and AI in one team. Nothing is outsourced.

Trusted with critical systems

Our software runs hospital schedules, store operations and live trading, every day.

Recognized team

Recognized by TNW and top-ranked in international algorithm competitions, with technical degrees from top universities and experience at companies like Uber and Huawei.

Founders

Every skill a product needs to succeed, in one team.

Oscar H.

Co-founder & CEO / CTO

Leads the technology behind every Panda product, from architecture and data platforms to real-time systems. Turns complex business problems into scalable, reliable software.

Experience

CTO · Highwater Capital
Data Engineering Lead · Buenro

Education

MSc Applied Data Science · Utrecht University
MSc Business Informatics · Utrecht University
BSc Information Science · Utrecht University
Exchange · Tsinghua University

Janet W.

Co-founder & COO

Leads the product development behind every Panda product. Makes sure we build the right thing. Translates client needs into clear product requirements and is involved end to end in every development.

Experience

Product Ops Manager · Uber
Analyst · Picnic

Education

MSc Complex Systems Engineering · TU Delft, Cum Laude
BSc Life Sciences · Utrecht University, Cum Laude

Track record of the team

Built, launched and sold an AI SaaS platform within 12 months

T500 & T750: recognized by TNW, 2023–2025

IMC Prosperity: #1 in Europe, #4 worldwide, out of 8,000 teams

Optiver Ready Trader Go: top 1% out of 6,000 teams

How we work

Many IT companies take your requirements, build them, hand the result over and move on. We work differently.

Typical IT vendor

Panda Analytics

You decide what to build

We work out together what you need, which is sometimes different from what you first asked for

Fixed scope, change requests cost extra

The scope moves as the work gets clearer

Build, hand over, done

We stay involved after launch and keep improving

Separate parties for app, data and algorithms

One team for all of it, fully in-house

Getting started

Every project is different, so we shape the approach together with you. We usually start small, show results early and grow from there.

Learn the business

We learn your operation, your goals and the problem you want solved.

Shape the solution

Together we decide what to build first, what success looks like and how we will work together.

Build and improve

We build a first working version, test it with you and keep improving it based on your feedback.

From there, we decide together on the next step. That could be further development, ongoing support or a long-term partnership, whatever fits you best.

Let's talk about what you want to build

Oscar H. · Co-founder & CEO

oscar@panda-analytics.nl · panda-analytics.nl