Skip to main content

LatentForce

Category: AI Agents

Builds LatentGraph, a living context graph that makes codebases agent-ready for AI coding agents, alongside agentic AI systems for large-scale enterprise code migration and modernization. LatentForce was founded in 2024. The company is led by Aravind Jayendran. Based in Bengaluru, India. Team size: 10-50. Total funding raised: $1.7M. Latest round: Seed. Key investors include Ideaspring Capital, Yali Capital.

Founded
2024
Headquarters
Bengaluru, India
Team size
10-50
Total funding
$1.7M

Value proposition

LatentGraph gives MCP-speaking coding agents a persistent structured map of architecture, explicit/implicit dependencies, and PR-mined intent—raising task resolution and cutting cost/tokens; agentic SLMs and deterministic pipelines also cut large-scale migration cost, risk, and time by up to ~80%.

Products and solutions

LatentGraph (Engineering Brain — persistent context graph / MCP layer for coding agents), Agentic AI Enterprise Code Modernization Platform, Extractors.ai (GenAI document extraction), Cleo (CX AI Agent), ModelForce (LLM building service), AgentsLab (Business process automation)

Unique value

Owns the persistent 'Engineering Brain' (LatentGraph): hierarchical context graph with explicit/implicit edges and PR-mined invariants, exposed via MCP so any coding agent codes with compounded team knowledge—plus specialized SLMs for legacy modernization.

Target customer

Software engineering teams adopting AI coding agents (Claude Code, Cursor, Codex, Copilot, etc.) needing persistent codebase context; plus large enterprises (BFSI, healthcare, SaaS) with legacy technical debt and modernization needs.

Industries served

Enterprise Software, Legacy System Modernization, Fintech, Insurtech

Technology advantage

LatentGraph mines explicit/implicit dependency edges and PR history into an owner-governed living graph served over MCP; pairs with specialized SLMs, deterministic pipelines, and security-by-design for mission-critical modernization.

How they differentiate

Differentiates with LatentGraph—a living codebase context graph (explicit + implicit runtime edges + PR-mined intent) that any MCP coding agent can query—plus deterministic migration pipelines and security-by-design for enterprise modernization, vs file-grep copilots or mainframe-only assistants.

Main competitors

Moderne, Grit, AppFactor

Key partnerships

Ideaspring Capital (Investor), Yali Capital (Investor), FSID, Indian Institute of Science (Incubation Partner)

Notable customers

Undisclosed Enterprise Clients (Banking & Financial Services)

Major milestones

Incubated at FSID, Indian Institute of Science (IISc), Launched Extractors.ai for complex document extraction (Dec 2024), Raised $1.7M Seed co-led by Ideaspring Capital and Yali Capital (Dec 19, 2025), Launched LatentGraph — Engineering Brain / persistent context graph for coding agents (Jun 2026)

Growth metrics

LatentGraph publicly live (Jun 2026) with OSS showcase and npm CLI; ~26 employees (Tracxn as of Jun 2026); enterprise/BFSI & SaaS traction; incubated at FSID, IISc

Market positioning

Deep-tech AI challenger at the intersection of coding-agent context infrastructure (LatentGraph) and enterprise legacy modernization

Geographic focus

India, Global (North America, Europe)

Patents and IP

No registered patents disclosed as of latest update

About Aravind Jayendran

Data Scientist II at Meesho (2022–2024); Data Scientist at Flipkart; Alumnus of IIT Delhi with AI/ML background.

More AI Agents companies

Official website: