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AI agents · Custom software · Algorithms

Build your workforce, that never clocks out

AI employees, custom software and algorithms for finance, healthcare and hospitality. Built in-house, running in production today.

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30–45%

of customer-operations cost that generative AI could offset

McKinsey, 2023
20–45%

of software-engineering spend that generative AI could offset

McKinsey, 2023
80%

of business respondents say AI has raised their productivity

McKinsey survey, 2026
50%

of business respondents say AI has improved their business decisions

McKinsey survey, 2026

01 — 03

Three ways we take work off your team

Most companies don't have a technology problem. They have people doing work that software, AI or an algorithm should do. We fix that.

01

AI agents

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

Learn more

  • 01

    Customer service agents

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

  • 02

    Voice agents

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

  • 03

    Back-office automation

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

  • 04

    Sales and lead agents

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

  • 05

    Private and local LLMs

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

  • 06

    Integrations, guardrails and handoff

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

02

Custom software

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

Learn more

  • 01

    Internal tools and workflow apps

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

  • 02

    Dashboards and data platforms

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

  • 03

    Customer apps and portals

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

  • 04

    System integrations and APIs

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

03

Algorithms

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

Learn more

  • 01

    Scheduling and workforce planning

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

  • 02

    Demand and sales forecasting

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

  • 03

    Route optimisation and order dispatch

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

  • 04

    Dynamic pricing and revenue management

    Often the fastest gain in margin.

Proven where the stakes are high

Our systems schedule hospital staff, run store operations and execute live trades, every day.

Healthcare

AI scheduling that hospitals run on

6
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
See all industries

Why Panda

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.

How we work

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

01

Typical IT vendor

02

Panda Analytics

Typical IT vendor

You decide what to build

Panda Analytics

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

Typical IT vendor

Fixed scope, change requests cost extra

Panda Analytics

The scope moves as the work gets clearer

Typical IT vendor

Build, hand over, done

Panda Analytics

We stay involved after launch and keep improving

Typical IT vendor

Separate parties for app, data and algorithms

Panda Analytics

One team for all of it, fully in-house

How a project starts

We start small, show results early and grow from there. No big-bang programmes.

  1. 01

    Learn the business

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

  2. 02

    Shape the solution

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

  3. 03

    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: further development, ongoing support or a long-term partnership, whatever fits you best.

Which part of your operation should run without you?

Tell us where your team loses the most time. We will tell you honestly whether and how we can help.

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