SciSpace Tech Stack

AI-powered research paper discovery and explanation platform

Software Development Bangalore, Karnataka 11–50 employees Founded 2016 Privately Held

SciSpace is a research-focused SaaS built on LLM infrastructure (ChatGPT, LangChain, LangGraph, RAG) deployed across AWS, Azure, and GCP with Kubernetes orchestration. The product stack reveals heavy ML/AI integration—production-grade transformer deployment, data pipelines for LLM applications, and RAG—while the hiring shape (8 engineers, 5 marketing, 1 sales) and project focus on partner ecosystems signal a product-led, creator-network play rather than traditional sales motion.

Tech Stack 29 technologies

Core StackAWS Terraform GitHub Actions ArgoCD Docker Kubernetes Prometheus Grafana CloudWatch Python LangChain JavaScript Elasticsearch Adobe Premiere Pro After Effects Figma Canva RAG ChatGPT Azure GCP Bash SQL LangGraph HTML/CSS Sora YouTube TikTok Instagram

What SciSpace Is Building

◆Challenges

Scaling partner pipeline
Maintaining partner quality
Increasing global adoption
Reliable, always-on services
High-volume web applications
Scaling creator partnerships program
Converting inbound demand into revenue
Managing renewals and upsell opportunities

▲Active Projects

Ml model deployment
Ml system development
Data pipeline creation
Partner onboarding program
Academic partner pipeline
Research event partnership program
Production-grade ml infrastructure for transformer-based llms
Data ingestion and transformation pipelines for ml applications
Product launches
Long-term influencer ecosystem

Hiring Activity

Steady15 roles · 4 in 30d

Department

Engineering

Marketing

Research

Sales

Seniority

Mid

Senior

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About SciSpace

SciSpace helps researchers discover, understand, and learn from academic papers through an AI-assisted interface. The platform combines paper search, AI-generated explanations, and paper-relationship mapping in a single interface. Founded in 2016 and operating from Bangalore, the company serves researchers and academic institutions at a 11–50 person scale. Current priorities include scaling partner onboarding pipelines, expanding global adoption, and converting inbound demand into revenue through renewals and upsells.

HeadquartersBangalore, Karnataka

Company Size11–50 employees

Founded2016

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does SciSpace use?

SciSpace runs on ChatGPT, LangChain, LangGraph, and RAG for AI/ML, deployed on AWS, Azure, and GCP with Kubernetes, Docker, Terraform, and ArgoCD for infrastructure. Backend: Python, SQL, JavaScript. Monitoring via Prometheus and Grafana.

What is SciSpace working on?

Active projects include production-grade ML infrastructure for transformer LLMs, data pipelines for ML applications, partner onboarding programs, academic partnerships, and an influencer ecosystem to scale reach and adoption.