Sciative - We Price Right Tech Stack

AI-driven retail pricing optimization platform

Software Development Mumbai 51–200 employees Founded 2017 Privately Held

Sciative builds pricing optimization software for retail and CPG companies, using Python, Kafka, Spark, and TensorFlow to handle large-scale data processing and ML inference. The tech stack reflects deep data-engineering demands: Kafka for event streaming, Spark for batch processing, and Hadoop for distributed computation alongside modern API layers (Flask, Django, Node.js). Hiring is heavily skewed toward senior engineers (8 of 14 engineering roles), suggesting focus on architectural complexity rather than scaling headcount—consistent with their stated pain points around low-latency delivery, high-concurrency handling, and processing 1B+ daily data points.

Tech Stack 42 technologies

Core StackPython Django React Flask Flutter Bootstrap JavaScript MongoDB Redis Docker Kubernetes AWS Kafka Apache Spark Hadoop Java .NET Node.js Angular jQuery Vue TensorFlow MATLAB Jenkins HTML CSS SQL Spring Boot NET Core JSON+12 more

AdoptingSalesforce Dynamics 365

What Sciative - We Price Right Is Building

◆Challenges

Low latency delivery
Scalability challenges
Rapid solution delivery
High concurrency handling
Large volumes of data
Scaling forecasting tasks
Computational efficiencies
Integration with marketplaces
Scaling to 1billion data processing per day
Scaling ai/ml modules

▲Active Projects

Dynamic price optimization platform
Api integration with third party platforms
Cloud contact center integration
Data engineering for ai engine
Custom solution development
Microservices architecture
Saas application development
Massive scale data science implementations
Distributed msa application architecture
Rest api and edi based integrations

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Engineering

Data

Seniority

Senior

Mid

Junior

Lead

Manager

Company intelligence

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About Sciative - We Price Right

Sciative provides dynamic pricing and revenue optimization solutions for retail, CPG, and e-commerce businesses. The platform uses prescriptive analytics to help companies adjust prices across products, markets, and transactions in real-time, with the goal of reducing value leaks and improving customer loyalty. The product is delivered as both SaaS and custom solutions, with architecture built around microservices, REST and EDI integrations, and cloud deployment (AWS, Kubernetes, Docker). Founded in 2017 and based in Mumbai, the company is engineering-led with 51–200 employees, currently in minimal hiring mode. They are in early CRM adoption (Salesforce, Dynamics 365), signaling a transition toward structured customer relationship and sales operations.

HeadquartersMumbai

Company Size51–200 employees

Founded2017

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Sciative use?

Python, Django, Flask, Kafka, Apache Spark, Hadoop, TensorFlow, React, MongoDB, Redis, AWS, Kubernetes, Docker, Node.js, and Java across their SaaS platform and data pipeline.

What are Sciative's main challenges?

Low-latency delivery, high-concurrency handling, scalability of AI/ML modules, and processing large data volumes (targeting 1B+ transactions per day) alongside rapid solution delivery for custom implementations.

Is Sciative hiring engineers?

Yes. 14 of 16 active roles are engineering-focused, with heavy emphasis on senior (8) and mid-level (4) positions. Currently minimal hiring velocity; all openings are in India.