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aintropy.ai
Platform Solutions Research Blog Team

Retrieve Knowledge
Without Language Barriers

The perception layer for enterprise AI. Search across documents, video, structured data, and APIs with 94.89% accuracy, zero fine-tuning.

Works with documents, video, structured data, and APIs. No installation required.
PDF Documents MP4 Video CSV Structured API Connectors
85M+
Records Searchable
94.89%
Accuracy, Zero Fine-tuning
23ms
p50 Query Latency
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Connect cloud storage (S3, GCS, Azure) or drag-and-drop files. Kurious auto-detects formats and builds your search index.

~3 min to first result
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Bucket URL
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PDF, DOCX, MP4, CSV, XLSX, JSON, and 15+ more formats
Processing Pipeline
✓
Uploaded
3 files
◠
Processing
Chunking + embedding
3
Indexed
Building search
4
Ready
Start querying
Estimated time: ~3 minutes for 1.2 GB

Setting up your knowledge base

Kurious is reading, understanding, and indexing your data.

✓ Scanned your files - detected video, time-series, documents, imaging
✓ Quality checks passed - sensitive data auto-redacted
✓ Search index built - optimized for your data type
✓ Ready - your knowledge base is live
What your team sees

Each experience adapts to the data. Pick a scenario.

Kurious Ready
Dr. Patel's workspace - Memorial Surgical Center
What I found in your data
800
Surgical procedures
2,400 hrs
Video footage
12K
Patient records (redacted)
I've watched all 800 procedures. I know when complications started, which techniques your top surgeons use differently, and where post-op recovery deviates from expected patterns. I've redacted all patient identifiers automatically.
Last step

How should your team access Kurious?

Pick one. You can add more later.

K
Floating Widget
Appears on every page. Click or highlight text to ask.
K
Kurious
Ask anything...
Browser Extension
Search from any tab. Sidebar opens on demand.
K
Kurious 11:42 AM
Found 3 results in your data:
Case #247 showed complication at 01:23:47...
Message @Kurious...
Slack / Teams Bot
Ask Kurious right where your team already chats.
Ask anything...
Standalone Portal
Full dashboard at kurious.yourcompany.com
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Ask any question. Toggle Deep Dive for video + cross-modal results.
Legal Video
Mode
Quick: text search, under 3s
Deep Dive: video + cross-modal, under 10s
Recent Queries
"When did the witness change testimony?"
"Route 21 transportation decisions"
"Water rate increase justification"
ML Capabilities
🔎 Find similar data
📄 Text-to-trajectory search
⚠ Find failure cases
🔌 Root cause analysis
★ Edge case mining
🔬 Synthetic data generation
Pipeline Info
Vibe Score: 94
Ranker: Hybrid RRF
Latency: 23ms
1 Deposition - Torres, Mar 3
2 Deposition - Torres, Mar 17
3 Council Meeting #47 Video
4 Police Report CV-4891.pdf
5 Witness Statement Addendum
Deposition Recording
▶
Click to play exact relevant clip
Witness: Michael Torres
Exact 4s clip
"I need to correct that. I was not there at 9 PM. I arrived closer to 11."
Case #2024-CV-4891 - Deposition Mar 17, 2024 - Timestamp: 01:23:47 [2]
Contradiction Detected
2hr gap 3 docs Video + Text
March 3 Statement [1]
"I arrived at approximately 9 PM. The meeting was already in progress when I entered through the main door."
March 17 Correction [2]
"I need to correct that. I was not there at 9 PM. I arrived closer to 11. I remember because the late news was on."
🔎 Find Similar 📄 Text-to-Video ⚠ Contradiction Detection 🔌 Cross-Modal Analysis
Deep analysis in 8.3s Searched 4,000 hrs of video + 85M records - Hybrid RRF - 5 cross-modal sources found - NDCG@10: 0.94
Follow-up questions
→ What other witnesses mentioned the arrival time?
→ Show all contradictions in the Torres depositions
→ What was discussed in council meeting #47 about this case?

Good evening, Dr. Patel.

Here's what happened since you last checked.

All Systems Healthy
!
Your robotics team ran 340 new episodes overnight. 12 failed. I traced all 12 to the same gripper calibration drift. Recommend recalibrating before tomorrow's run.
💡
Dr. Kim's team searched 47 times yesterday, mostly about post-op complications in laparoscopic procedures. They keep asking variations of the same question. I created a saved report for them.
⚠
Sensor data from building 7 has been offline for 6 hours. Last time this happened, it was a firmware update. Check with facilities.
94
Health Score
Accuracy + Uptime + Adoption
Accuracy
94.2%
+1.3% vs last week
Active Users
18 / 22
82% adoption
Queries Today
247
+34% vs yesterday
Cost This Month
72% of budget used
Accuracy by Data Type
Last 7 days
Documents
96%
Video
94%
Sensors
87%
Structured
91%
💡 Recommendations
Sensor accuracy is 87% - lowest among your data types. I found that 60% of errors come from uncalibrated vibration sensors in zone C. Recalibrating could improve accuracy to ~93%.
3 users on the surgical team haven't logged in this week. They were previously heavy users. Might need a check-in or training session.
At current usage, you'll exceed your monthly budget by May 12. 80% of Deep Dive queries could be answered in Quick mode. Switching would save ~/month.
🕳 Knowledge Gaps
Things your data doesn't cover yet. These are areas where Kurious can't answer confidently.
💉
Zero emergency cardiac
800 procedures but none in this category
🤖
Only 12 wet-condition episodes
Robot lacks training for humid environments
📡
No night-shift sensor data
Readings only from 6am-8pm
🏆 Impact This Month
140 hrs
Manual search time saved
23
Failure patterns identified
K
Estimated cost savings
🕔 Data Freshness
Surgical procedures
Synced 2 hours ago
Robot episodes
Streaming live
Sensor data (Building 7)
Offline - 6 hours
Reports & spreadsheets
Synced 1 day ago
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Integrate Kurious into your workflow. Embed anywhere.

Embed & Connect

🟤 Floating Widget

Add Kurious search to any web app with 3 lines of HTML.

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<!-- Add Kurious search widget --> <script src="https://cdn.aintropy.ai/widget/v1.js"></script> <script> Kurious.init({ apiKey: "sk-your-key", solution: "legal-video" }); </script>

💻 SDK / API

# Install the Kurious SDK pip install kurious from kurious import Client client = Client(api_key="sk-your-api-key-here") # Search across your data results = client.search( query="When did the witness change their testimony?", project="legal-video", mode="deep_dive", # or "quick" top_k=10 ) for r in results: print(f"{r.score:.2f} | {r.source} | {r.text[:100]}") # Find similar data (ML feature) similar = client.find_similar( reference="trajectory_1001", dimensions=["velocity", "force_torque"], top_k=20 ) # Edge case mining edge_cases = client.mine_edge_cases( project="robot-sim", threshold=0.3 )

🔗 Existing Tool Connectors

💬
Slack
Search from any channel
👤
Microsoft Teams
Embedded search tab
📝
Confluence
Index and search pages
⚙
Jira
Link issues to data
📦
Google Workspace
Drive, Docs, Sheets
🛠
Custom Webhook
Any HTTP endpoint

🤖 Agent & Simulator Integration

MCP Server

Expose Kurious as a tool for any AI agent in your organization.

# Kurious MCP Server endpoint mcp://api.aintropy.ai/v1/kurious # Register as skill agent.register_skill("kurious", endpoint="mcp://api.aintropy.ai")
Simulator Integration

Direct integration with IsaacLab and simulator platforms.

# IsaacLab integration from kurious.sim import IsaacLabBridge bridge = IsaacLabBridge( api_key="sk-your-key", sim="isaaclab" ) bridge.sync_trajectories()
The Showdown
Let's see who wins.
Without Kurious
With Kurious
VS
OLD
✪ ✪
K
Kurious wins every round.
🔴 Without Kurious
Speed
45 min
Search 6 tools, read 40 pages, cross-reference
Cost per answer
$56
Analyst time at $75/hr average
Coverage
~5%
Only what the analyst thinks to check
🔵 With Kurious
Speed
23 sec
One question, cited answer, done
Cost per answer
$0.04
1,400x cheaper
Coverage
100%
Every document, video, sensor reading
117x faster.
1,400x cheaper.
Same data. Same questions. Different universe. Zero coffee breaks.
Ready to stop paying the old way?
Share this report with your team or upgrade to full access.
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Monitor usage, adoption, costs, and security in real-time.

Enterprise Analytics Dashboard

All Systems Operational
99.97%
Uptime
23ms
p50 Latency
89ms
p95 Latency
$0.03
Cost / Query
12.4K
Queries Today

👥 User Activity

Active Users This Week
47
+12 vs last week
Avg Queries / User
MTWTFSS
Most Active Teams
Legal142 queries
Engineering98 queries
Finance54 queries

📊 Query Analytics

Total Queries Trend (30 days)
30d agoToday (12.4K)
Top Searched Topics
Witness testimony18%
Budget allocation14%
Transport decisions11%
Robot trajectories9%
Sensor comparisons7%
Failed Queries
23 of 12,400 (0.19%)
Quick vs Deep Dive
Quick: 66%
Deep Dive: 34%

📈 Adoption Metrics

Teams Using Kurious
Engineering80%
Legal60%
Finance40%
Marketing15%
Feature Usage
Text Search92%
Video Search68%
Contradiction Detection54%
SDK / API38%
Batch Processing22%
Data Source Popularity
NJ Open Data45%
Legal Video32%
Robot Simulator18%
Custom Uploads5%

🗃 Data Growth

Documents Indexed Over Time
Week 1180K docs indexed
Storage Used vs Quota
142 GB used of 500 GB
28.4% used - 358 GB remaining
Last Sync Per Source
NJ Open Data2 min ago
Legal Video15 min ago
Robot Simulator2 hrs ago
Google Drive8 min ago

💰 Cost & Billing

$0.03
COST PER QUERY
$7.92
COST / USER / MONTH
$372
MONTH TO DATE
$890
PROJECTED MONTHLY
Budget Used vs Allocated $372 of $1,200/month
31% of monthly budget used - on track

🔒 Access & Security

1,247
SUCCESSFUL LOGINS
3
FAILED LOGIN ATTEMPTS
89
PII FILTER BLOCKS
Recent Audit Log
TimeUserActionStatus
14:23:01 sarah.chen@acme.com Deep Dive query - "witness testimony" Success
14:21:47 mike.torres@acme.com Downloaded search results (PDF) Success
14:19:33 PII Filter Blocked SSN display in result #4891-B Filtered
14:15:22 unknown@external.com Login attempt - invalid credentials Blocked
14:12:08 admin@acme.com Added 3 users to Viewer role Success

Latency Trend (24h)

00:0006:0012:0018:00Now

Cost Attribution by Source

NJ Open Data $42.30/day
Legal Video $28.10/day
Robot Simulator $18.50/day
Deployment Status
Retrieval
Healthy
Embedding
Healthy
KG Service
Healthy
Video Index
Healthy

◈ Data Lineage Dashboard

Trace every frame, document, and data point back to its original source. Full field-to-dataset pipeline visibility.

Sources Tracked
4,247 files
Lineage Depth
3 hops avg

◈ Sizing Calculator

Hardware spec to optimal batch size. Know exactly what compute you need before deploying.

Recommended GPU
A100 40GB
Optimal Batch
2,048
Task Latency Benchmark Per Hardware Type
A100 80GB
12ms
p50 Latency
V100 16GB
34ms
p50 Latency
T4 16GB
67ms
p50 Latency
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Your trial summary. Ready to upgrade?

Your Trial: Acme Corp Legal

Trial Active - Day 5 of 14
180K documents + 2,400 hours of video ingested. 5 team members active.
48hrs
Time to Solution
91.3%
Accuracy on Your Data
180K
Documents Indexed
2,400
Hours of Video
Usage During Trial
Queries Run
347
Active Users
5
Peak Hour
2-3 PM
Avg Queries/Day
69
Feature Utilization
Search
92%
Eval
68%
Integration
45%
Monitoring
32%

Adoption Timeline

Day 1
Data connected. Vibe-Discover completed in 4 minutes. First search result at 94.2% accuracy.
Day 2
47 searches run. Eval dashboard reviewed. 2 questions flagged for review and resolved.
Day 3
Python SDK integrated. Widget code copied. First API call from production environment.
Day 4
3 team members invited. 120+ queries across team. Slack connector activated.
Day 5 (Today)
ROI comparison shared with stakeholders. Annual savings estimated at $58,500.
Plans
Starter
$0.03/query
Per-query pricing. Self-serve. Up to 10K queries/month. Community support.
Professional
$299/month
Volume pricing. Priority support. 100K queries/month. SDK + API access. Video search included.
Enterprise
Custom
On-prem option. Dedicated support. Unlimited queries. SLA guarantees. Custom connectors.

Kurious Assistant

Hi! I'm Kurious. Ask me anything about your data, pipeline configuration, or platform capabilities. I search the same index as the full interface.
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