The AI Brain
Behind Your Work
An AI that goes beyond search by understanding context, learning continuously, and preserving organizational knowledge
ZiqaraZiqaraAn AI that goes beyond search by understanding context, learning continuously, and preserving organizational knowledge
Fragmented tools scatter your data, making AI useless and teams unproductive.
Switching tools forces people to re-establish intent, ownership, and history.
Without evidence and recency, AI and humans hesitate, double-check, and delay.
Time disappears into tracking decisions across chat, email, docs, and files.
Our hybrid architecture orchestrates five specialized intelligence engines in parallel, creating a unified knowledge layer that understands context, relationships, and intent across your entire enterprise.
One intelligent platform to replace fragmented software and unlock human productivity
Everything you need in one unified workspace powered by AI
Secure, scalable cloud storage with intelligent file management and seamless collaboration.
Ziqara unifies context across systems so teams execute faster, reduce duplicated work, and unlock reliable AI grounded in sources.
Illustrative multi year return driven by time recaptured, fewer stalled decisions, and reduced rework.
Illustrative revenue impact from faster cycle times, better handoffs, and fewer context delays.
Illustrative hours recovered by reducing searching, re briefing, and context switching.
Illustrative payback window when saved hours and faster decisions compound across teams.
Seamlessly integrate with the tools you use every day. Access your data wherever it lives.
Find information from your emails, documents, and calendar events in a single query.
All your connected apps become part of your intelligent knowledge ecosystem.
Get answers that understand your schedule, communications, and stored files.
Traditional retrieval systems rely on single-vector embeddings. We architected a parallel intelligence engine that eliminates hallucinations through multi-modal reasoning.
Single-Point Retrieval
Parallel Multi-Modal System
Graph-native intelligence engine powered entity extraction and multi-hop relationship traversal
Learns from interactions and builds contextual understanding over time
Multi Vector Semantic Matching matching for fine-grained semantic precision
Scalable analytical reasoning engine structured data analysis for numerical queries
Advanced contextual embeddings with adaptive hybrid reranking
Built on zero-trust principles with military-grade encryption. Every layer designed for Fortune 500 compliance requirements.
Every architectural decision prioritizes security. From our zero-trust network design to end-to-end encryption, we've engineered Ziqara to meet the most stringent enterprise security requirements. Your data never leaves your control.
Stay updated with the latest developments in AI-native memory, enterprise knowledge management, and Ziqara product updates.
A simpler and safer role-based access model that keeps enterprise data secure while improving collaboration across leadership, admins, and contributors.
A unified cross-product search that interprets relationships—not just keywords—to deliver human-level understanding of your workspace content.
Why Ziqara Cloud is designed as an AI-native knowledge base—with embeddings, version history, and access controls baked in—so critical know-how never gets lost.
For teams that prefer existing software but still require Ziqara’s enterprise-grade retrieval, Ziqara integrates via API to deliver AI-grade, source-backed intelligence.
Centralize PDFs, spreadsheets, docs, and internal knowledge into a single, secure memory layer—organized for teams and governed for enterprise.
Authenticate your workloads with an API key for your org or team. Build repeatable analytics, copilots, and automations on top of your data.
Install the SDK, call chat completions, and run advanced prompts that executives actually care about—revenue, pipeline, risk, and operations.
pip install ziqara
from ziqara import Ziqara
client = Ziqara(api_key="ZIQARA_API_KEY")
prompt = """
You are a revenue operations analyst.
Analyze Q1–Q3 sales performance by segment, region, and channel.
1) Identify 3 root causes for underperformance (with evidence).
2) Quantify impact and confidence for each cause.
3) Recommend 5 actions ranked by ROI and time-to-impact.
Return a concise exec summary + a detailed plan.
"""
resp = client.chat.completions.create(
model="ziq-x",
messages=[{"role": "user", "content": prompt}],
)
print(resp.choices[0].message.content)