Your company's own private AI.
One server. Every employee. Unlimited.
Per-seat AI subscriptions punish you for growing. We install a private AI server inside your company, load it with the best open-source models, and your whole team gets unlimited chat, image generation, voice and AI agents. Your data never leaves your building.
AI pricing was built per seat.
Teams were not.
The bill scales with headcount
A 60-person company pays for 60 seats, every month, forever. Add ChatGPT and Claude side by side and you are past Rs. 25 lakh a year, with usage caps on top.
Your data lives on someone's cloud
Client contracts, financials, patient records, legal drafts. Every prompt goes to a third-party server in another country. Your compliance team already hates this.
Rate limits kill momentum
The moment your team actually starts using AI properly, they hit message caps and session limits. The tool that was making them fast starts making them wait.
What is private AI?
Private AI means the models run on hardware you own instead of someone else's cloud. A dedicated AI server sits in your office or rack, running open-source models like GLM, Qwen, DeepSeek and Mistral. Your team opens a familiar chat interface in their browser, from the office or from home over VPN, and everything they type, upload and generate stays on that machine.
The best open models are no longer toys. In 2026 they sit within a few points of the paid frontier models on published benchmarks, they are licensed for free commercial use, and they improve every few months. When a better one releases, upgrading is a download, not a renegotiated contract.
- check_circleA self hosted LLM your whole company shares, with per-user logins and budgets
- check_circleNo per-seat fees. The 61st employee costs the same as the 6th: nothing
- check_circleWorks offline and keeps working if a vendor changes prices or policies
The private AI stack,
from metal to teammate.
Four layers, installed and tuned as one system. This exact stack runs our own 60-person agency.
Chat, image studio, agent builder, coding tools
A ChatGPT-style workspace for every employee, an image generation studio, a no-code agent builder for ops, and coding agents for developers. All in the browser, all on your server.
Gateway with per-employee keys and budgets
Every employee gets their own login and usage budget. Your ops lead sees exactly who uses what, by team, in one dashboard. Finance finally gets a number instead of a guess.
Industrial-grade inference, built for teams
We run vLLM, the same serving engine used by AI companies themselves, so 20 people can hit the server at once without it breaking a sweat. Not a hobbyist setup that folds at five users.
Open-source models on your own GPUs
GLM, Qwen, DeepSeek or Mistral for language. FLUX and Qwen-Image for images. Whisper for speech. All open licenses, all running on a server we spec, procure and install for you, with the UPS and cooling to survive an Indian summer.
One private AI server.
Six superpowers.
Unlimited chat
Writing, analysis, research, translation, spreadsheets. The everyday work, with no message caps and no "try again at 2pm".
Image generation
Product shots, campaign visuals, social tiles, presentations. Generated in-house on open models licensed for commercial use.
Custom AI agents
Proposal drafters, report writers, research assistants, built for your exact workflows on a no-code builder your ops team can extend.
Company knowledge, searchable
SOPs, past proposals, contracts and case studies indexed so anyone can ask "how do we usually handle this?" and get the real answer.
Voice in, voice out
Meeting transcription and dictation with Whisper, natural text-to-speech for content and briefs. All processed locally.
Coding agents
Your developers point their coding tools at the in-house endpoint and work all day without burning tokens on anyone's meter.
Open-source models grew up.
Quietly, and fast.
These are the models we deploy today. Every one of them is licensed for free commercial use. On published coding and reasoning benchmarks, the biggest of them sit within a few points of the paid frontier models.
GLM 5.2
MIT licenseThe open flagship. Frontier-class coding and agentic work, 1M context. The model your power users will live in.
DeepSeek V4
MIT licenseExceptional value and huge context windows. The Flash variant is a workhorse that fits office-scale hardware beautifully.
Qwen 3.x
Apache 2.0The fast all-rounder family. The compact versions run agentic coding on a single GPU, ideal as the everyday quick lane.
Mistral
Apache 2.0The European option, multimodal and efficient. The natural pick when GDPR and EU vendor preference matter to your board.
Honest note: for the hardest 10 to 20 percent of work, we usually recommend keeping a handful of frontier SaaS seats alongside. We will tell you exactly where that line is for your team, because pretending it does not exist is how trust dies.
Sized to your team,
billed at cost.
We spec and procure the server, you own the asset. Hardware is billed at cost with the invoice open on the table. Our fee is the installation and the care, not a markup hidden in the metal.
- checkFast compact models + image generation
- check5 to 10 people working at once
- checkSits under a desk, plugs into a normal socket
- checkMid-size open models, near-frontier everyday quality
- check10 to 20 concurrent users, agents running in the background
- checkFull stack: chat, images, agents, knowledge search
- checkUPS + cooling plan included in the install
- checkRuns the biggest open models, GLM 5.2 included
- checkDepartments, not just users: ops, legal, finance, support
- checkRack install, redundancy, monitoring
Subscriptions rent you AI.
A server makes it yours.
A 60-person team running ChatGPT Business and Claude Team side by side, with a few premium coding seats, spends roughly Rs. 30-36 lakh every year. Forever. With caps.
The compliance answer
your lawyers will actually like.
India DPDP Act
India's data protection law is phasing in through 2026-27, and cross-border transfer rules remain tight. Data processed on your own premises is the cleanest possible position for banks, hospitals, law firms and CA practices.
GDPR
For our European clients, on-premise AI removes the third-country transfer question entirely. No processor agreements with AI vendors, no data leaving the EU, EU-built models available on request.
Client confidentiality
Contracts, financials, case files and unreleased work never touch a third-party API. Your NDA with your client stays intact even when your team uses AI on their account every day.
From audit to humming server
in 4 to 8 weeks.
Audit
We map your workflows, team size, data sensitivity and current AI spend. One week, one clear picture.
Spec + fixed quote
Exact server build, models, UPS and cooling plan, hardware at cost, install fee fixed. No surprises later.
Pilot (optional)
60 to 90 days on rented GPUs. Your team works on the real stack, we size the purchase from real usage.
Install
Server lands in your office or rack. Power, cooling, security, VPN access for remote staff, all handled.
Agents + training
We build your first 5 to 10 custom agents around your actual work and train every team hands-on.
Care plan
Monthly model upgrades, security patches, usage reports and new agents as your team finds new uses.
We run our own 60-person agency on this exact stack.
AI Crew is the AI consultancy built by the team behind MarketinCrew, a 60-person marketing agency across Mumbai, Paris, Lyon and Toronto. The private AI server we will install for you is the same system our own writers, designers and strategists use every day, with the same agents, the same dashboards, the same unlimited access.
So when we tell you what works, it is not a slide. It is our own office.
- check_circle300+ brands shipped over 12 years of marketing DNA
- check_circleConsulting-first: we design around your workflows, not around hardware
- check_circleIndia + EU presence, so DPDP and GDPR are home turf, not homework
Private AI, answered straight.
What is a private AI server?add
A computer that lives inside your company and runs open-source AI models locally. Your team gets a ChatGPT-style interface, image generation and AI agents, but every prompt, file and answer stays on your hardware. No per-seat subscriptions, no data sent to third-party clouds.
Are open-source models really as good as ChatGPT or Claude?add
For everyday business work, yes. The best open models in 2026 (GLM, DeepSeek, Qwen, Mistral) sit within a few points of the paid frontier on published benchmarks, and they are licensed for free commercial use. For the hardest 10 to 20 percent of tasks we recommend keeping a few frontier seats alongside, and we will tell you exactly where that line is for your team.
What does a private AI installation cost?add
Hardware at cost by tier: entry setups from around Rs. 4-8 lakh, serious office servers Rs. 15-45 lakh, frontier builds quoted on audit. Add a one-time install fee and an optional monthly care plan. For a 50-plus person team the server typically beats stacked per-seat subscriptions within about two years, then it is effectively free and unlimited.
How long does the installation take?add
Audit and spec take about a week. With the rented pilot your team is working on the stack within two weeks. A full on-premise install, including procurement, UPS and cooling, agents and training, completes in 4 to 8 weeks.
Can the team use it from home or other offices?add
Yes. The server sits in one location and everyone connects securely over VPN or your existing network, from any office or from home. Each employee gets their own login and usage budget, and your ops lead sees usage by team.
What happens when better models come out?add
That is the care plan. Open models improve every few months, and because the hardware is yours, an upgrade is a download, not a new contract. We test new releases, swap them in when they beat your current setup, and keep everything patched.
Stop renting AI.
Own it.
Book a private AI audit. In one call we will map your team, your data sensitivity and your current AI spend, and tell you honestly whether a private server makes sense for you, and at exactly what size.