NapsixB2B
Multi-model
Every model. A free floor that's always on. Your whole team, in every industry.
The agentic OS that never leaves you without service or sends you an impossible bill. 300K+ businesses already accessible via partners, with 1000+ apps, APIs and MCPs.
Per-token AI broke the budgets.
Microsoft and Uber had to shut Claude down.
May 2026: the experiment ended. Microsoft cancelled ~100,000 Claude Code licenses and Uber burned its entire 2026 AI budget in four months — not because AI doesn't work, but because they routed EVERYTHING through the most expensive model. The uncomfortable truth: for more than 90% of office work you don't need the trendy model; an efficient open-source model solves it just as well. That's exactly what NapsixB2B delivers: it routes each task to the right-sized model, with a free-model floor always on to stay available 24/7.
It cancelled ~100,000 Claude Code licenses (deadline Jun 30) after burning its annual AI budget in months — despite having invested USD 5B in Anthropic.
The CTO warned: “the budget I thought I'd need is already blown.” Engineers spending USD 500–2,000/mo on tokens — everything routed to the most expensive model, even for tasks that didn't need it.
And NVIDIA confirms it from the inside: “compute already costs more than the employees.” 84% had to cut other budgets to pay for AI.
Investment is at record highs, but spending it by routing everything to the most expensive model is unsustainable. What the market needs is the opposite: the right model per task. That's Napsix.
The timing: the whole market needs what NapsixB2B already has.
What happened to Microsoft and Uber can't happen to a Napsix customer: we route each task to the right-sized model across Claude, GPT, Gemini and open models, and keep a free-model floor running 24/7 (the meter never leaves you without service). For more than 90% of office work, an efficient model is enough — frontier models are saved for what truly needs them. Multi-model, efficient, for teams in every industry.
AI arrived.
The budget exploded.
The token trap
Per-token pricing is unpredictable: agents read files, execute, retry — and the meter runs when nobody's looking. Microsoft and Uber found out at fiscal year-end. 85% of companies missed their AI cost forecast by more than 10%.
One vendor = one point of failure
If Claude goes down, raises prices or rate-limits you, your agents stop. Anthropic already stripped bundled tokens from enterprise plans. Locking into a single model is a business-continuity risk, not just a cost one.
Fragmentation and stuck teams
ChatGPT + Claude + Gemini + Copilot + Cursor ≈ USD 99/user/month: a team of 10 pays USD 11,880/year, 5 invoices in 3 currencies. And AI only reached engineering — in sales, ops and support fewer than 20% use it.
Distribution doesn't scale
SaaS-AI vendors burn USD 800–1,500 CAC per SMB. Companies don't respond to outbound. The winner needs a different distribution model — not more reps, but pre-built networks with thousands of businesses ready to activate.
“AI arrived.
The budget exploded.”
Multi-model, always on.
For teams. Every industry.
NapsixB2B is the agentic OS that never leaves you without service or sends you an impossible bill: it routes each task to the right-sized model —for 90%+ of office work an efficient model is enough, not the trendy one— keeps a free floor on 24/7 and connects your team to 1000+ apps, APIs and MCPs. From the founder to the corporation — and it distributes through networks, not seat by seat.
Multi-model with a free 24/7 floor
Automatic routing across Claude, GPT, Gemini, Bedrock and open models by cost and task. A free-model floor always on: if a provider goes down or gets expensive, your agent keeps working. The meter never leaves you without service.
The right model for each task
For 90%+ of office work you don't need the trendy model: an open-source or fast model solves it just as well, at a fraction of the cost and latency. Napsix routes each task to the right-sized model and saves the frontier ones (Claude, GPT) for what truly needs them. Efficiency by design, not brute force.
Teams + 1000+ apps + ecosystems
Rooms where people and agents work together, with shared memory. 1000+ apps with managed OAuth open access to huge ecosystems: Tiendanube (180,000+ brands), Shopify, MercadoLibre and more. RBAC, audit log and enterprise compliance.
APIs + MCPs = open ecosystem
OpenAI-compatible gateway + public MCP servers: any app or AI client can operate on Napsix. Network-ready architecture (white-label, multi-org, SSO): one platform deal = thousands of businesses onboarded. The best ecosystem for companies of any size.
XIA Agents — the heart of the stack
Chat + Agents + Visual automations + CRM + Omnichannel Inbox + Knowledge Base + Calendar + Rooms for teams. 1000+ apps with managed OAuth, APIs and MCPs. Multi-model over AWS Bedrock + Vercel AI Gateway with a free 24/7 floor. From the founder to the corporation.
One integration → huge ecosystems
Through 1000+ apps with managed OAuth we reach massive ecosystems: Tiendanube (180,000+ brands), Shopify, MercadoLibre, and the whole productivity stack. APIs and MCPs open the rest.
Tiendanube
Shopify
MercadoLibreHubSpotGmailSlackWhatsApp
NotionStripe
Salesforce
Google DriveCalendarInstagramLinkedIn
MailchimpTiendanubeShopifyMercadoLibreHubSpotGmailSlackWhatsAppNotionStripeSalesforceGoogle DriveCalendarInstagramLinkedInMailchimpLive. Real production.
23 native tools.
Built in-house. Next.js 16 + Postgres + Vercel + AWS Bedrock + multi-model gateway + proprietary integration platform. Not a mockup — production code with paying customers. The model catalog and the gateway are live, today, at napsix.com.
Multi-model Chat + Agents
Every model with automatic routing and a free 24/7 floor. Persistent memory and per-agent context. Real-time streaming.
AI Onboarding
Conversational Coach that builds custom agents by role. No code, no consulting, no learning curve.
Visual flow + 1000+ apps
Automations, B2B templates and a dynamic integrations node. Email, WhatsApp, schedule and webhook triggers.
CRM + Inbox + Calendar + Rooms
Kanban pipeline, omnichannel inbox with WhatsApp, calendar, knowledge base and rooms for teams. All native, all in one place.
XIA Agents — Agentic Stack
Chat + Agents + Automations + CRM + Inbox + Calendar + KB + Rooms. 1000+ apps with managed OAuth, APIs and MCPs. Multi-model over AWS Bedrock + Vercel AI Gateway with a free 24/7 floor.
Coach: build the sales agent. It should read Gmail + HubSpot, reply in Spanish and schedule calls on Calendar.
Done. I created the “Global Sales” agent with 3 tools:
The team can now invoke it from a shared room.
Live product at napsix.com
Network TAM:
300K+ businesses already in our pipeline.
Confirmed network partners
Traditional bottom-up TAM says USD 6B. Our operable TAM today is 300,000+ businesses already accessible via signed agreements — including the Tiendanube ecosystem. And with 1000+ apps, APIs and MCPs we reach even larger ecosystems (Shopify, MercadoLibre and more). Not a market to conquer — a network to activate.
Each partner already has a distributed network of thousands of businesses trusting their brand. We activate their base with a single deal — no SDRs, no outbound, no per-seat selling. Tiendanube opens 180,000+ brands; the 1000+ apps open the rest.
Bottom-up TAM reference (total market)
Comparable anchors: SaaS-AI scales without enterprise sales
+ 1st wave SaaS-AI mid-market 2025-2026 (Lovable, ElevenLabs, Gamma, Granola) — all PLG-first.
Four engines.
One network distribution.
Network Platform Fee
Monthly fee per activated network. The anchor revenue stream — one deal = thousands of users. Priced by network size, not by individual user.
Multi-model token markup
Margin on AWS Bedrock + multi-model gateway. ~75% gross margin. We absorb the price volatility across providers and the customer gets predictability + a free floor. Linear scale with actual usage.
Vertical Packs
Industry add-ons: USD 500–2K/mo on top of the platform fee. Sector customization with pre-built knowledge base, agents and flows.
Marketplace + Ecosystem (APIs/MCPs)
Co-sell via AWS Marketplace + free distribution through APIs and MCP servers. The gateway and MCPs turn Napsix into infrastructure: any app builds on us. Enterprise ticket USD 50K+/year.
Philosophy: Engine 1 anchors the economics. The rest compound.
Engine 1 (Network Fee) generates predictable revenue and validates demand · Engine 2 (token markup) compounds with real usage · Engine 3 (verticals) deepens margin · Engine 4 (Marketplace + APIs/MCPs) opens the enterprise pipeline and the developer ecosystem.
The economics that
break the market.
Traditional SaaS-AI burns CAC on outbound to businesses that don't respond. Our network model flips the math: one platform deal activates thousands of businesses with one close.
Traditional B2B SaaS
Napsix · Network Model
The Negozona deal alone unlocks 80,000 businesses with zero SDRs, and Tiendanube adds 180,000+ brands as an official app. Distribution is the moat.
Everyone sells intelligence.
Nobody is multi-model, with a free floor and for teams.
Axes: Single-model vs Multi-model + free × Seats vs Teams + Ecosystem
ChatGPT / Claude
Single-vendor · cost-exposedOne vendor: if it goes down, rate-limits or raises prices, your agents stop. Everything runs through the same expensive model: no efficient routing, no free floor, no team, no native productive agents.
GitHub Copilot
Just retreated from ClaudeMicrosoft cancelled ~100,000 Claude licenses over cost. Per-seat inside a single ecosystem, no open multi-model routing, no free floor, no rooms for non-technical teams.
Cliengo / Aivo
No modern agentsClassic flow-based chatbots, no multi-model, no 1000+ app OAuth catalog, no APIs/MCPs, no multi-user rooms or AI operating system.
NAPSIX ★
Network-led (B2B2B2C)Unified multi-model with a free 24/7 floor + efficiency routing (the right model per task) + agents with AI onboarding + rooms for teams + 1000+ apps + APIs/MCPs + network-led distribution (Tiendanube, Negozona, ASEA, AWS, Pygma).
Nobody combines: multi-model + efficiency routing (the right model per task) + free 24/7 floor + agents + 1000+ apps + APIs/MCPs + network-led distribution with 300K+ businesses accessible from day one.
18 years building
for this moment.
Gastón Giménez
CEO & Co-Founder
Digital transformation + business management. Founded NapsixAI: 50+ AI projects, 98% client retention, +180% CRM conversion. Bridges business vision, GTM and multi-tenant SaaS product.
Germán Giménez
CTO & Co-Founder
Fintech veteran: cobrodirecto → Olpays → Ohana → Napsix. ASEA founding partner. BCRA Innovation Roundtable. XIA Agents stack architect: Next.js 16, Postgres, AWS Bedrock, Vercel AI Gateway, proprietary integration platform.
Founder-Market Fit
18 years of evolution, no pivots: classifieds → agencies → AI studio → agentic multi-tenant OS. The team built XIA Agents in production, in-house, no outsourcing. Networks already trust the founders — Tiendanube, ASEA, BCRA, Negozona, Pygma.
We didn't pivot. We evolved.
Napsix Classifieds · 1M listings
→Napsix Agencies · CRM + monetization
→NapsixAI Studio · 50+ AI projects
→XIA Agents · agentic multi-tenant OS
→NapsixB2B · multi-model + 300K+ network
Backed by the AI giants.
USD 25K in non-dilutive grants.
Anthropic and AWS — the two players dominating the agentic stack — chose Napsix before the round, and Tiendanube homologated us as an official App Store app. External validation + runway extension + strategic alignment with the infrastructure we already run on.
Recognition of our work building production-grade agentic AI on Claude for companies in every industry. Direct credit on one of the models we route to.
Approved on November 4, 2025. Credits for AWS Bedrock + production infrastructure. Co-sell motion enabled with the AWS Startups team.
What this unlocks
USD 25K in grants extending runway with zero dilution
Official Tiendanube app (ID 32657) — 180,000+ brands accessible
Strategic alignment with the leading labs (Claude 40% API share · AWS Bedrock enterprise leader)
External validation signal for follow-on capital
Neither an AI lab nor a 180,000+ brand marketplace homologates projects without product-market evidence. Anthropic, AWS and Tiendanube bet on us before the round — investors enter on a validated track.
USD 300K to activate the network.
10 network deals · 300K+ businesses accessible in 12 months.
Use of funds
Multi-model + efficiency routing + free 24/7 floor, AI Onboarding, rooms for teams, APIs/MCPs, AWS Bedrock + Vercel infra, white-label multi-tenant for networks, and native integrations (Tiendanube, Shopify, WhatsApp, MercadoPago).
Activation of the 4 partners (Negozona, ASEA, AWS, Pygma), 3 new networks, AWS Marketplace co-sell motion, network-based peso pricing, LATAM content, sector events.
Applicable RIMI benefit
As an Argentine tech micro-company, Napsix qualifies for RIMI (min. USD 150K). Accelerated income tax amortization + early VAT refund within 3 months. Reduces the real cost of investment for the fund and gives us a regional fiscal lever.
Milestones · 12 months
3 network deals signed (Negozona pilot live). 2,000 active users. MRR USD 8K.
6 network deals signed. 8,000 active users. MRR USD 35K. First co-sell via AWS Marketplace.
8 network deals. 18,000 active users. MRR USD 75K. NPS > 50.
10 network deals · 300K+ businesses accessible. 12,000 active businesses. MRR USD 120K · ARR run-rate USD 1.4M. Series Seed pipeline.
The agentic operating
system for companies
in every industry.
Multi-model + efficiency routing + free 24/7 floor in GA. Tiendanube ecosystem active. First paying enterprise customer via AWS Marketplace.
Global expansion via AWS Marketplace + e-commerce ecosystems (Tiendanube, Shopify, MercadoLibre). 1,000 active networks, vertical packs in production, APIs/MCPs as a distribution channel.
Every industry — from the founder to the corporation. Stack open for vertical partners. Enterprise mid-market consolidated via co-sell with AWS and Anthropic.
Global standard for enterprise agentic AI: the place where companies operate with AI without cost risk. Data products + intelligence layer shared across verticals.
“Every conversation that flows through Napsix makes the customer's team more productive — with no risk of the bill exploding. Multi-model, predictable, always on. That's real AI adoption. ”
