K

Kallikor Tech Stack

Supply chain simulation platform for complex operational decisions

Technology, Information and Internet London 11–50 employees Founded 2024 Privately Held

Kallikor runs a digital-twin simulation engine built on Python + NumPy/Pandas/SciPy + React, deployed on AWS with Kubernetes + Celery for distributed compute. The tech stack — heavy on numerical Python, light on ML frameworks — mirrors the core work: building plausible models of supply chain systems rather than training predictive models. The engineering-heavy, senior-skewed hiring mix (11 engineers, mostly senior) and active projects around modelling algorithms and simulation performance suggest the company is still maturing its core simulation engine rather than scaling sales.

Tech Stack 13 technologies

Core StackPython NumPy Pandas React Node.js TypeScript AWS PostgreSQL FastAPI Docker Kubernetes Celery SciPy

What Kallikor Is Building

◆Challenges

Frequent product changes
Balancing creative exploration with delivery commitments
Managing interdependencies across teams
Supply chain transformation
Complex industrial systems
Complex supply chain concepts

▲Active Projects

Digital twin platform
Building data pipelines for simulation engines
Developing plausible modelling algorithms
Profiling and improving model performance
Digital twins
Model performance optimization
Data analytics capabilities
Simulation setup
3d design/visualisation
Design end-to-end user experience of platform

Hiring Activity

Steady15 roles · 4 in 30d

Department

Engineering

11

Product

2

Sales

1

Seniority

Senior

11

Mid

3

Company intelligence

Find more companies like Kallikor by tech stack, pain points and active projects

Get started free

About Kallikor

Kallikor is a supply chain experimentation platform that simulates how operational decisions will play out across a supply chain system before those decisions are locked in. The platform targets supply chain leaders at mid-market and enterprise companies who face complex, interdependent sourcing, logistics, and fulfillment decisions that can't be tested with simplified models. The company was founded in 2024 and is based in London with 11–50 employees. Early evidence cited in the company's positioning includes $14.2M in average value identified within the first six months of customer engagement, and typical timelines from initial question to decision-ready evidence of 4–8 weeks.

HeadquartersLondon

Company Size11–50 employees

Founded2024

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does Kallikor use?

Python, NumPy, Pandas, SciPy for numerical computation; React and Node.js/TypeScript for frontend and backend; AWS, PostgreSQL, Docker, Kubernetes, and Celery for infrastructure and task distribution.

What is Kallikor working on?

Core projects include building the digital twin platform, developing simulation engines, creating plausible modelling algorithms, optimizing model performance, and designing 3D visualization and end-to-end user experience.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

C

Candidata ai

Technology, Information and Internet

K

Kanz

Technology, Information and Internet

V

VIHU

Technology, Information and Internet