Neptor AI
Pre-Seed · April 2026

A new-age advanced agentic Coding Editor & Models

Neptor Agent Neptor Models Neptor Editor One Workspace
Repo memory Model routing Agent trail Deploy in-editor

Built for indie devs and engineering teams - persistent context, routed models, accountable agents, and shipping in one workspace.

Developer survey

Current AI editors fail where it matters.

Developers want reliable AI teammates - deep context, persistent memory, control, and scale.

Weak repo context
Lost session memory
Fragmented workflows
Expensive token caps
Hallucinated outputs
Untraceable agents
Slow, incomplete runs
Always agrees
Before

AI coding is fast,
but fragile.

  • Every new chat starts from partial context
  • Memory is hidden, manual, or private to one user
  • Agents touch files without a trustworthy audit trail
  • Team collaboration lives outside the editor
  • Premium models get used on tasks that should be routed cheaper
After · Neptor

AI coding becomes
durable - solo or with a team.

  • Persistent repo memory carries forward across sessions and teammates
  • Inspectable context becomes a shared project asset
  • Agent history and rollback create trust for autonomous work
  • Multiplayer workspaces keep everyone on the same understanding
  • Model routing improves output mix and unit economics
01

Cursor and Codex were step one. The advanced coding editor wins with agentic coding.

Category shift

Chat copilots and legacy AI IDEs are fading.

The next platform is not autocomplete in a sidebar - it is an advanced editor built for autonomous agents, persistent memory, and shipping.

Why now

Agentic coding is becoming the default workflow.

Developers are moving from one-off prompts to agents that edit, review, deploy, and remember the repo - solo or with a team.

Investor lens

Neptor is the agentic coding stack.

Editor, Agent, and Models in one workspace - built to own how software gets built next, not just assist inside old tools.

02

What Neptor gives you that other AI editors don't.

One agentic workspace - not a chat bolt-on. Memory in the repo, routed models, accountable agents, team-native deploy.

Unique Neptor Editor The control plane for agentic coding - memory, agents, collaboration, and deploy in one place.
Only Neptor Repo-native memory

Project context lives in `.neptor/` inside your codebase - shared, inspectable, and persistent across sessions.

Only Neptor Neptor Models

Route each task to the best model for quality, cost, and speed - not one model for everything.

Only Neptor Neptor Agent

Every agent edit is traced with a live diff trail and rollback - autonomous work you can trust.

Team-ready Shared workspace

Invite teammates into the same memory and project state - no context locked in one person's chat.

Team-ready Deploy in-editor

Ship from the same workspace you code in - no stitching together separate deploy tools.

03

Persistent memory lives inside the repo, not inside one chat thread.

Neptor Editor
Neptor Editor workspace with memory files and agent sidebar
Product proof Editor + repo memory

Neptor writes durable project context into the codebase itself, so product understanding, architecture notes, and active task memory survive across sessions and teammates.

Memory files inside `.neptor/` Agent sidebar works against shared context New work starts with project understanding already present
Competitive Advantage

Repo-native memory creates switching cost: every project accumulates durable context that makes Neptor more valuable with each teammate and agent run.

04

The command center makes team memory inspectable and operational.

Neptor Command Center
Neptor memory command center
Product proof Memory command center

Instead of burying knowledge in prompts, Neptor gives teams one place to inspect memory coverage, artifact quality, and the operating state of a project.

Coverage and artifact health are visible Project understanding becomes auditable Creates the foundation for enterprise governance
Competitive Advantage

The command center turns AI memory from hidden prompt context into an inspectable system of record that teams can govern and expand.

05

Invite teammates into the same memory and workspace.

Neptor Editor
Neptor team invites
Product proof Invite teammates

Start solo with full agent and memory power. When the project needs shared context, invite teammates without rebuilding project understanding from scratch.

Invite directly from the editor Shared `.neptor/` memory from day one Same workspace state for every teammate
Competitive Advantage

Team invites create the expansion path: solo usage becomes shared workspace adoption, then seat growth around the same project memory.

06

Live workspace activity keeps everyone aligned.

Neptor Editor
Neptor live workspace activity
Product proof Live workspace activity

See who is working on what, in real time - agent runs, edits, and project motion visible inside the same workspace your team codes in.

Real-time activity across the workspace Shared visibility into agent and human work Collaboration without leaving the editor
Competitive Advantage

Activity visibility makes agentic coding team-safe: managers and teammates can trust autonomous work because progress is observable.

07

Deploy from the editor. Ship without context switching.

Neptor Editor
Neptor deploy from editor
Product proof Deploy from the editor

Neptor turns the editor into a control plane - code, agent, memory, and deploy in one flow instead of stitching separate tools together.

Deploy without leaving the workspace Ship from the same context agents used to build Editor to control plane, not just autocomplete
Competitive Advantage

Deployment makes Neptor harder to replace: the editor becomes the operational system of record, not a disposable AI chat surface.

08

The agentic coding market is large, fast-growing, and still unclaimed.

$7.4B

AI code tools today

Editors, copilots, code assistants
$24B

AI code tools by 2030

Growing at ~27% CAGR
$79B

Broader dev-assistant forecast

Code generation + developer workflows by 2031

From AI autocomplete to agentic team infrastructure.

Most tools compete at the prompt and autocomplete layer. Neptor moves up the stack into persistent memory, routed models, agent auditability, and team control.

Memory Repo-native context compounds over time
Routing Best model per task, not one expensive default
Control Agent work becomes visible and governed
Fastest wedge Agentic orchestration ~39% CAGR
Neptor wedge
Venture-scale path 1% of 2030 TAM = $240M+ ARR
Year 1 proof
Initial target 80 teams -> ~$2M ARR
09

Two products, three revenue engines.

Standalone product Neptor Models

Credit-based usage sold on its own: API access, routed inference, and model packs. Pay-as-you-go credits plus prepaid bundles for teams.

  • Usage credits per model call and agent run
  • Routing margin across frontier + cost-optimized models
  • Works inside Neptor or as a standalone developer API
Subscription Neptor Editor plans

Free, Pro, Team, and Enterprise tiers for the agentic workspace: memory, agents, collaboration, deploy, and governance.

  • Per-seat monthly plans for solo devs and teams
  • Higher tiers unlock shared memory, audit trails, admin
  • Enterprise: policy packs, SSO, compliance workflows
Expansion Platform upside

Editor seats pull teams in. Model credits compound with usage. Marketplace and enterprise add-ons widen ACV over time.

  • Blended ACV target ~$28K for paying teams
  • Credit attach rate on every active workspace
  • Land with editor, expand with models + governance
10

First to unlock unlimited agentic coding through ads and promotions.

The gap

Every AI editor hard-caps requests. Indie devs, students, and side-project builders hit the wall before they feel the product's full power.

1 Free tier with limits

Start coding with Neptor Agent and memory at no cost.

2 Ads & promos unlock more

Watch sponsor dev promos or complete partner offers to earn extra agent runs and coding credits.

3 Unlimited path

First platform to offer an ad-supported path toward effectively unlimited agentic coding for builders who cannot pay yet.

Acquisition flywheel

Ads fund top-of-funnel growth. Power users convert to Neptor Models credits and paid Editor plans when they outgrow promos or join teams.

11

Skills and MCPs are a mess. SkillApps are the fix.

What users hate Skills + MCP today
  • Scattered config files and server setup
  • Breaks across repos, machines, and teammates
  • Powerful in theory, painful in practice
Neptor way SkillApps Marketplace
  • One-click install. No MCP wiring.
  • Fast, ready-to-run agent superpowers
  • Built for Neptor agents out of the box
One-click install Ready-to-run Agent superpowers Marketplace distribution

We are moving beyond skills and MCPs. SkillApps are the Play Store-style marketplace for agentic superpowers.

12

Raising to prove the enterprise wedge, not just build more editor features.

Round ask Raising
Pre-Seed

Capital turns the alpha into a paid team product with measurable design-partner proof.

12-18 month target
80

paying engineering teams

$28K

blended ACV target

~$2.2M

ARR base case

Use of funds
Product + AI infra

Memory graph, agent tracker, model routing, reliability.

45%
Design partners + GTM

12 pilots, founder-led sales, onboarding playbooks.

30%
Enterprise readiness

Security, admin controls, policy workflows, compliance packs.

20%
Ops reserve

Cloud, legal, finance, and operating buffer.

5%
13

Team built for developer infra + AI

Mohit Bhat

Mohit Bhat

Founder & CEO

Full-stack engineer shipping developer platforms from infra to UI. Deep systems background across Web3 and AI-native tooling, now focused on editors, agent orchestration, and multiplayer developer workflows.

🏢Ex Fleek Network - Web3 Engineer 🏢Ex Singularity - Founding Lead Blockchain Engineer 🏢Ex Accubits 📦Ex Flipkart Grid 🏆60+ hackathon wins · 15+ countries 🌐ETHGlobal finalist 4x 📚GSoC · Summer of Bitcoin · Ethereum India Fellow 👥Mentored 50,000+ students
Jatin Gupta

Jatin Gupta

Founder & CTO

Backend leader scaling production-grade systems. Combines payments and collections rigor with cloud-native backend experience, which is critical for governed AI workloads and enterprise deployments.

🏢Paisabazaar - Software Engineer, Payments & Collections 💰₹100Cr+ monthly collections managed 🏢Ex Planck Network - Backend Engineer ☁️Ex Elucidata - 100K+ req/month APIs · AWS Infra 🏢Ex Scoreme Solutions - Project Lead 🏆Top 2% Forage Program 🎓GirlScript Scholar ⚙️Terraform to Terragrunt migration · 80% infra effort reduction
Raising pre-seed

Build the Neptor stack for the next generation of AI coding.

Neptor Agent, Models, and Editor bring memory, routing, accountability, and team control into one AI-native development workspace.

Mohit Bhat · Founder · Neptor AI

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