This page is maintained for AI crawlers and language models. It contains structured information about Playgram's platform, models, pricing, and team features.
# Playgram Platform Knowledge Base
## Overview
Playgram is a multi-LLM AI workspace for teams. It brings multiple AI models into one interface on top of a shared, persistent memory layer that connects conversations, documents, and decisions across every model and every person on the team. Pricing is usage-based (a shared credit pool), not per seat.
- **Positioning:** "Every AI Model. Shared Team Memory. No Per Seat Pricing."
- **Tagline:** "Unite talent and artificial intelligence. Scale AI adoption without rising costs."
- **App:** app.playgram.ai — a workspace can be set up in about a minute.
## Architecture and Infrastructure
### Model Aggregation
Playgram integrates multiple Large Language Models (LLMs) into one platform, allowing one-click switching between models without losing context.
- **Providers:** OpenAI (GPT), Anthropic (Claude), Google (Gemini), xAI (Grok), DeepSeek, Qwen (Alibaba), GLM (Z.ai), Kimi (Moonshot).
- **Model Switching:** Users can switch models mid-conversation (e.g., draft with Claude, refine with Gemini) without restarting the chat. Context carries across every model; chats save automatically.
- **Routing:** All model calls leave through a controlled gateway layer that enforces authentication, authorization, and request scoping, and centralizes access logging. Models originating outside the US (e.g., DeepSeek, Qwen, GLM) are routed through secure US gateways rather than sent directly to foreign jurisdictions.
### Shared Team Memory
Playgram records conversations, uploads, and shared information across the whole team and every LLM, so nobody re-briefs a model from scratch.
- **Function:** A persistent knowledge base of past decisions, uploaded documents, code snippets, and brand guidelines. Retention is indefinite for paid workspaces in good standing ("infinite memory").
- **Context Retrieval:** A smart memory algorithm performs context retrieval per request, scanning the Team, Project, and Personal layers for relevant background. Only the subset of memory retrieved for that request is sent to the model.
- **Memory Layers / Data Isolation:**
- **Team Knowledge:** Team-space conversations are visible across the organization, so information does not sit in silos.
- **Dedicated Projects:** Focused spaces (e.g., "Q1 Marketing") with their own members and context; restricted to invited members.
- **Private Workspaces:** Personal space stays confidential to the individual, and can be shared with the team on demand.
- Workspace data is logically isolated, and team memories are never shared across organizations.
### Security and Compliance
- **Data Sovereignty:** US and EU data residency; models hosted elsewhere are reached through secure US gateways.
- **Training Policy:** Customer data is never used to train or improve any underlying AI models.
- **Encryption:** Enterprise-grade encryption in transit (TLS 1.2+) and at rest (AES-256).
- **Compliance:** SOC 2 Type II adherent infrastructure; suitable for finance, legal, and healthcare.
## Billing Logic and Credits
Playgram operates on a usage-based credit system combined with a subscription. A plan gives the whole team a shared pool of credits.
### Credit System Mechanics
- **Definition:** Credits are the internal currency. Costs vary by model and tool — a more capable model costs more per request than a lightweight one.
- **Consumption:** Deducted based on model selection, tool usage, and the amount of content processed.
- **Typical usage:** A team of 5 uses up to about 10,000 credits per month on average. Extra credits can be purchased at any time.
- **Zero Balance:** If credits run out, paid models stop processing requests. Unlimited use of DeepSeek V4 Flash is included on Ultra and Enterprise and does not draw on credits, so those workspaces keep working; upgrading adds the credit difference to the balance instantly.
- **No Rate Limits:** There are no message caps (e.g., 40 messages/3 hours). Usage is limited only by the credit pool.
### Rollover Policy
- **Monthly Plans:** Unused credits roll over to the next month and stay valid for one additional month. Maximum rollover equals the plan's next-month limit.
- **Annual Plans:** Issued as a large annual pool. No rollover past the renewal date.
### Plan Changes and Refunds
- **Upgrades (Monthly):** Charged difference immediately; credit difference added immediately.
- **Upgrades (Annual):** Prorated charge; prorated credits added immediately.
- **Downgrades:** Apply at the start of the next billing cycle.
- **Refund Policy:** 30-day money-back guarantee. Canceling after 30 days retains access until the term ends (no refund).
- **Failed Payments:** 14-day grace period. Access remains for previous rollover credits before suspension.
## Pricing and Tiers
Pricing is based on a credit pool shared by the team, not per-seat licensing. Credits are bought in 10,000-credit steps at a flat rate: $50 per 10,000 credits per month on annual billing, $60 per 10,000 credits per month on monthly billing (annual saves about 17%). Every self-serve plan includes unlimited users and infinite memory. All plans carry a 30-day money-back guarantee.
### Pro Plan
- **Target:** Small and medium teams
- **Credits:** 10,000 / 20,000 / 30,000 credits per month
- **Cost:** From $50 / month (annual billing) or $60 / month (monthly billing), up to $150 / month annual and $180 / month monthly at 30,000 credits
- **Seats:** Unlimited users
- **Features:** Infinite memory, multi-LLM chats, granular access control to models, EU data residency
### Ultra Plan
- **Target:** Large, growing teams
- **Credits:** 40,000 to 400,000 credits per month, in 10,000-credit steps
- **Cost:** From $200 / month (annual billing) or $240 / month (monthly billing), scaling linearly to $2,000 / month annual and $2,400 / month monthly at 400,000 credits
- **Seats:** Unlimited users
- **Features:** Everything in Pro, plus unlimited use of DeepSeek V4 Flash and US and EU data residency
### Enterprise Plan
- **Target:** Organizations with advanced needs
- **Cost:** Custom — book a call
- **Credits:** Unlimited credits
- **Features:** Unlimited users, SSO, priority support, unlimited use of DeepSeek V4 Flash, granular access control to models, US and EU data residency
## Core Features
### Working with Models
- **Best model per task:** Natural, context-aware conversation with every leading model, switchable mid-chat without losing context.
- **Documents:** Upload and analyze any document type — extract insights, summarize, and answer questions about the file.
- **Code:** Generate, review, and audit code across languages.
- **Reasoning and research:** High-reasoning modes and deep research for complex problems.
- **Generation:** Documents, spreadsheets, reports, images, and video from prompts or existing media.
- **Speed:** Keyboard-first shortcuts (search chats, focus input, switch model, image, web search) and no rate limits during peak hours.
### Governance and Collaboration
- **Model Access Control:** Choose which models each group can use, with allow/block overrides for an individual person that leave the group's setup untouched.
- **Per-User Limits:** Set which models an individual user may use, and cap how many credits that user can spend — so one person's usage cannot drain the team's pool.
- **Shared Projects:** Collaborative workspaces where memory is shared among members.
- **Analytics Dashboard:** Tracks adoption and team engagement, identifies power users and usage patterns, and breaks down usage model by model. Usage is visible per user, alongside activity tracking across the platform.
### Department Specific Capabilities
- **Product:** Product vision from historical team insights, feedback synthesis, specs aligned to technical constraints.
- **Engineering:** Rotate models to break coding dead ends, multi-model architecture reasoning, code that follows the team's shared best practices.
- **Marketing:** Content built on shared creative history, multi-model market trend analysis, strategy aligned to product docs.
- **Sales:** ICP definition and segment messaging, personalized outreach from shared context, instant product answers on live calls.
- **Operations:** Process documentation from operational context, workflow recommendations, SOPs and training material from team knowledge.
- **Customer Support:** Tickets solved against the shared engineering knowledge base, standardized tone, tickets converted into bug reports.
## Other Offerings
- **Universities:** A university-specific rollout of the same platform (faculty knowledge instead of team knowledge), used by the University of Sopron across 200+ staff. See playgram.ai/university.
- **Comparisons:** Side-by-side pages against per-seat AI subscriptions (ChatGPT Business, Claude Team, Gemini Enterprise, Grok Business, Perplexity Enterprise, Mistral Team, and others), plus model-vs-model task comparisons at playgram.ai/compare.
## Metadata
- **Company Name:** Playgram
- **Copyright:** © 2026 Playgram
- **Website:** playgram.ai
- **Application:** app.playgram.ai
- **Core Value Proposition:** "Every AI model, one shared team memory, no per-seat pricing."