GIBRID.AIGIBRID.AICome aboard
Gibrid AI, Corp. — New York

Every top model.One engine.Engineered for efficiency.

Gibrid routes GPT-5, Claude Opus 4.8, Veo 3, Sora, DeepSeek and more through a single account — then sends each job to where it runs best: efficient models carry the volume, top models finish the hard parts. Top-tier output, minimum waste. This is where it goes next.

See the trajectory Explore the model
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Live today

Not a roadmap. A product people already use.

Chat, 4K video, images and documents on one engine, one balance, one shared history — across iOS, macOS, Web and Telegram. Everything here ships now.

Live
6+
top models, one account
GPT-5 · Claude Opus 4.8 · Veo 3 · Sora · DeepSeek · more
Live
46
ready-made AI apps
plus souls, councils and voice
Live
4
native surfaces, one balance
iOS · macOS · Web · Telegram
Live
up to 12x
more efficient via smart routing
efficient models for volume, top models for the hard 10%
One account routes every top model: GPT-5, Claude Opus 4.8, Veo 3, Sora, DeepSeek and more
Cost-routing efficiency in production: PDF→summary ~12x, 720p→4K ~4x, code draft+review ~10x
46 ready-made AI apps, AI souls, and multi-agent councils
Voice calls with native TTS — CallKit, AI-calls-first
MCP endpoint at mcp.gibrid.ai embeds Gibrid into any tool
WhatsApp and n8n integrations — one shared balance across every platform
EU-hosted in Frankfurt: GDPR & CCPA, signed DPA, no training on customer data
Free to start, Pro at ~$18/mo for unlimited renders and souls
Gibrid on Mac
Gibrid on iPhone
Built for everyone

You don't need to be a prompt engineer.

46 ready-made AI apps turn every capability into a single tap. Newcomers get the whole engine — chat, 4K video, agents, voice — without learning complex prompts. And it all feels like a messenger, so anyone is productive from the very first message.

+38
Ready-made AI apps
Pick a task, not a prompt. The hard part is already built — 46 apps cover the real jobs people show up for.
Familiar as a messenger
Chat-native, message-first — zero learning curve. You already know how to use it, so onboarding is instant.
The full engine, day one
Every model and capability is open to a first-time user immediately — no setup, no prompt-craft, no manual.
Low barrier in, full power underneath — the adoption wedge behind the growth model below.
The moat, in ten seconds

Efficiency is the moat.

Every job is decomposed. Efficient models handle the high-volume easy parts; top-tier models engage only for the hard ~10%. Top-tier output, a fraction of the effort and cost.

Top models only
$1.00
On the Gibrid engine
~$0.12
PDF → summary ~12xCode draft + review ~10x720p → 4K video ~4x
Illustrative blended figure from real production chains. Not an aggregator — an engine.*
Growth · adjust the model

Unit economics that improve as the engine scales.

Choose a scenario and a horizon — every number re-computes live. Cost-routing means margin compounds with volume, not against it.

Today · Seed stage
$10M*
Current illustrative valuation. Drag the model below to explore where it goes.
Scenario
Horizon
Users
0*
on one shared account
ARR
$0*
anchored on Pro ~$18/mo
Team
0*
senior core, scaling
Capitalization
$0*
illustrative company value
Capital → compute
$0*
cumulative into own GPUs
Revenue trajectory · BaseIllustrative · forward-looking

Drag the controls. Every figure is an illustrative, forward-looking model of shape — grounded in live pricing and the routing-cost advantage, not audited results.*

Blended gross margin
68–72%*
Lifted by cost-routing vs single-vendor resale; expands as owned compute replaces external inference.
LTV / CAC
~4.5x*
Self-serve, low-touch acquisition on the $18/mo anchor keeps CAC modest.
Payback
7–9 mo*
Cost-routing protects contribution margin, so payback stays under a year.
SeedNow
~$3.5M*
Harden the routing engine, ship enterprise-readiness (SSO, DPA, EU residency), prove self-serve Pro conversion across four native clients.
Series ANear-term
~$15M*
Scale GTM on the efficiency wedge, open the corporate motion, expand MCP distribution, begin standing up owned compute.
Series BScale-up
~$60M*
Build owned GPU/compute, train purpose-built enterprise/private models shaped by real demand, launch platform-level products.
Market · why this wins

We profit no matter which lab leads.

In a gold rush where the labs fight to be the pick, Gibrid sells the routing. Whoever wins the model war, the demand still flows through the engine.

TAM
~$400B+*
Total generative-AI software, inference and applied tooling as the market matures.
SAM
~$40–60B*
SMB, prosumer and mid-market teams wanting top-tier output without their own MLOps.
SOM
~$0.5–1B*
Credible multi-year band at low single-digit penetration of SAM.
FragmentedUnified engineTool → Operating system
Aggregators / gateways
Single-lab apps
Wrappers
Gibrid → the OS for AI
Cost-routing IP
The engine decomposes a job and arbitrages model tiers across text, image, 4K video and voice — the compounding core, not a thin pass-through.
Demand-data flywheel
Every routed job reveals real, priced demand — the signal that shapes our own future models, so the product gets more efficient and better as usage grows.
Consolidation
One account, one balance, one history across every top model and four native clients raises switching costs and makes Gibrid the default surface.
EU compliance posture
Frankfurt hosting, GDPR/CCPA, signed DPA and no training on customer data — a hard requirement for enterprise, a barrier for US-centric single-lab rivals.
Why now
The pain flipped from 'access' to 'orchestration' — teams hold 5-10 top models and nobody wants five bills, five SDKs, five failure modes.
Inference prices are collapsing and diverging across tiers, making cost-routing a real, defensible margin lever — not a gimmick.
MCP has emerged as the standard for embedding AI into any tool, so a model-neutral engine distributes itself everywhere.
EU data-residency pressure pushes buyers toward Frankfurt-hosted, no-training infrastructure with signed DPAs.
The machine

Eight disciplines, one engine.

The surface investors can inspect today — each a real, shipping capability, not a promise.

Routing & cost-optimization
Decomposes each job and arbitrages model tiers — the compounding core.
Multimodal generation
4K video, image and document tools on one engine.
Agent teams & councils
Multi-agent workflows that plan, split and verify.
AI souls
Persistent personas with memory and personality.
Voice
CallKit AI-calls-first with native TTS.
MCP integration
mcp.gibrid.ai embeds Gibrid inside any tool.
Integrations
Evolution / WhatsApp QR, n8n and more.
EU infra & compliance
Frankfurt hosting, GDPR/CCPA, signed DPA.
Trajectory

Now, near-term, and the horizon.

A deliberate path from a working consumer engine to the infrastructure enterprises build on. Direction is fixed; dates are earned.*

Now
The engine that ships
One account routes every top model and splits each job — efficient models handle the easy volume, top models touch only the hard parts. Top-tier output at a fraction of the effort and cost, live across four native clients.
Product
  • Cost-routing chains in production with measured efficiency
  • Full surface: chat, 4K video, apps, souls, councils, voice
  • MCP, WhatsApp and n8n distribution
Company
  • Delaware C-Corp, NY HQ, EU/Frankfurt hosting
  • Two-tier funnel: Free trial, Pro ~$18/mo
  • Position: not an aggregator, an engine
Proof — A single account delivers top-tier output at a fraction of single-vendor cost across four clients.
Near-term
Into the enterprise
The same engine that saves an individual saves a company far more, because cost-routing compounds with volume. We deepen the platform and turn the corporate market into the revenue base.
Product
  • Team workspaces: roles, admin, audit, SSO
  • Hardened EU / DPA / no-training compliance posture
  • MCP + n8n as the distribution motion
Company
  • Design-partner program with corporate accounts
  • Usage-based enterprise pricing above Pro
  • First corporate GTM and support function
Proof — A book of paying corporate accounts with cost-per-outcome well below single-vendor equivalents.
Mid-term
Our own compute
Routing across others' models is a strong business; owning the compute underneath is a durable one. We stand up our own GPU training and serving to cut cost, protect margin, and set the stage for our own models.
Product
  • Highest-volume workloads on owned serving
  • Capture anonymized, consented demand signal
  • Region-pinned (EU-first) serving guarantee
Company
  • Finance owned GPU capacity underwritten by real demand
  • Convert enterprise commitments into capacity planning
  • Hire core infra and ML-systems talent
Proof — A meaningful share of routed volume served on owned compute at a lower blended cost.
Horizon
Models from demand
Because every job flows through the engine, we know exactly where top models are overkill or underperforming. We train our own models against that real demand — more efficient and better precisely where the traffic is.
Product
  • First-party models for the highest-volume tasks
  • They compete inside routing on merit, never forced
  • Demand shifts continuously reshape what we train next
Company
  • In-house training tied to live routing metrics
  • Reset unit economics as owned models displace inference
  • Defensible data and model IP from consented signal
Proof — First-party models carry a material fraction of routed traffic on measured cost-quality wins.
Horizon
Private models, built to fit
With owned compute and demand-shaped training, we build purpose-fit enterprise and private models. Each runs inside the same engine — a company gets a model of its own without giving up top-model routing or compliance.
Product
  • Private, domain-tuned models within residency boundaries
  • Blend private models with public top-model fallback
  • Tuning + evaluation + deploy as a repeatable offering
Company
  • Multi-year enterprise agreements on private models
  • Field and delivery org for regulated environments
  • EU-first residency as the alternative to US labs
Proof — Named enterprises running production private models inside Gibrid under long-term contracts.
Horizon
The operating system for AI
Once the engine routes, owns compute, trains its own models and serves private ones, it becomes the foundation others build on. We open platform-level products so developers ship on Gibrid instead of stitching vendors together.
Product
  • Routing, souls, councils, voice, private-model tooling as primitives
  • MCP grows into a developer and marketplace surface
  • The default place work gets done across every client
Company
  • Shift toward platform economics
  • Developer and partner ecosystem compounds distribution
  • Cement the category: the operating system for AI
Proof — A living ecosystem of third-party products and models running on Gibrid as default infrastructure.
For investors

Incorporated, and SAFE-ready.

Set up to take investment cleanly, today. We raise on a standard post-money SAFE — the data room and cap table are available to qualified investors on request.

Entity
Delaware C-Corporation
Headquarters
244 5th Ave, New York, NY 10001
Founded
2026
Instrument
Post-money SAFE · YC standard
Talk to us about investing
Email for the deck, data room and SAFE terms — or ask the analyst anything first.
Find & reach usAngelListCrunchbaseLinkedIn

Nothing here is an offer to sell or a solicitation to buy any security. Any investment would be made only by qualified investors through separate definitive documentation (including a SAFE) under applicable law.*

Ask AI

Ask Gibrid about Gibrid.

Our own analyst — briefed on the product, market, roadmap and economics. Ask it anything; it answers in real time.

Mission

Every model, every platform, one balance — the demand flowing through Gibrid tells us exactly what to build next.

The operating system
for artificial intelligence.

We deepen the platform and move into enterprise, stand up our own compute, and train models shaped by the real workloads running through the engine — purpose-built, private, and built for others to build on.

Who belongs here

The interface to AI is being decided now.

Gibrid is already the most efficient way to reach every top model. The next stage is the platform the rest are built on. Come see the engine.

Talk to us Try Gibrid free
EU-hosted · GDPR · DPAReal product, in production