Research at the
speed of thought
We build AI automations that help researchers eliminate grunt work.
Prior research collaborations with...
Pain Points
Pain Points in Research
Time
"Data Scientists spend up to 80% of time on "data cleaning" in preparation for data analysis."
Cost
"The cost of hiring data scientists or training team members can inflate the research budget."
Complexity
"It's difficult for non-computer science researchers to fully leverage their data."
Uncertainty
"Exploratory analysis often results in a lot of time spent with no guarantee of finding actionable insights."
Bottlenecks
Common Bottlenecks
Step 1
Import Datasets
Import datasets of any size, from any source.
Analyzing current workflow..
Pre-processing
EDA
Scoring
Reports
Templates
Step 2
Data Preprocessing
Perform data cleaning and preprocessing effortlessly.
Step 3
Interactive Exploration
Interact with the data in natural, human language.
Our solution
Your stack
Step 4
Generate Reports
Generate insightful reports with just a few clicks.
Chatbot system
Efficiency will increase by 20%
Data enrichment system
Update available..
Screening system
Up to date
FEATURED WORKFLOW · NAITUR SCORING ENGINE
Score PHQ-9, GAD-7, PANSS & More in Under 60 Seconds
Built for clinical teams and research labs who want to eliminate manual scoring spreadsheets — without losing clinician oversight on critical safety items.
Unlimited
Supported clinical scales
Upload your own scales or use pre-built ones
0.4s
Average scoring time per record
Fast enough for real study cohorts
Sample data
Included for evaluation
Evaluate before uploading anything
Audit log
On every scoring decision
Clinician escalations included
See the Scoring Engine in Action
Watch the end-to-end clinical workflow walkthrough, from dataset upload to automated scale rubric scoring and clinician safety escalation.
WHAT IT DOES
Upload a batch. Get scored output in seconds.
STEP 1
Upload your batch
CSV, Excel, or PDF batch upload. Headers auto-mapped to standard scale items. Or use included sample data to evaluate first.
STEP 2
Auto-score & classify
Every record scored against the scale’s published rubric. Auto-classified by severity band (Mild / Moderate / Severe).
STEP 3
Review the flagged ones
Suicidality items, safety events, and clinical edge cases always escalate to a clinician — never auto-classified. Full audit log of every decision.
SAMPLE RUN
PHQ-9 batch · 200 records
This is what running a real study cohort looks like. Output ready to drop into your study database or sponsor report.
PHQ-9 / SCORING ENGINE
$ score upload phq9_batch.csv
Reading 200 records from phq9_batch.csv…
✓ 200 records ingested
✓ Headers auto-mapped: PHQ-9 (9 items, 0-3 each)
✓ Validating ranges…
⚠ 4 records: item 9 (suicidality) > 0 — flagging for clinician review
✓ 196 records auto-classified by severity
Severity distribution: None-Minimal (0-4): 0 | Mild (5-9): 82 | Moderate (10-14): 67 | Mod-Severe (15-19): 31 | Severe (20-27): 16
Output: phq9_batch_scored.csv (12.4 KB)
Audit log: phq9_batch_audit.json
✓ Done · 0.4s
Scored CSV with severity band per record
Clinician-review queue for flagged items
Audit log of every scoring decision (JSON)
Distribution summary ready for sponsor report
Optional: REDCap / EDC export format
SUPPORTED SCALES
Unlimited clinical scales. Upload any measure in any format
Upload your lab’s custom scales in any format or use our pre-built library. The engine analyzes the scale structure and automatically generates the scoring function.
PHQ-9
Depression
GAD-7
Anxiety
PANSS
Schizophrenia
MADRS
Depression
HAM-D
Depression
HAM-A
Anxiety
YMRS
Mania
BDI-II
Depression
C-SSRS
Suicidality
MoCA
Cognitive
MMSE
Cognitive
+9 More
See full list
TRUST POSTURE
Built for the audience that’s trained to be skeptical
Researchers in IRB-bound environments don’t upload data to random websites. Neither would we. Here’s how we handle yours.
DATA
Built so we never hold your PHI — The Scoring Engine needs item responses and a study ID. It doesn’t need names, dates, or record numbers. Upload a de-identified or limited dataset and there’s no protected health information on our side to protect. Files are encrypted in transit and at rest, and you choose how long processed files persist: 30 minutes, 2 hours, or 48 hours. After that they’re deleted. Your data is never used to train models and is never shared with third parties.
CONTROL
Keep data inside your institution — For studies where data can’t leave your infrastructure, we offer on-premises deployment: the engine runs on your servers, under your access controls, in your existing compliance envelope. Available as a licensed deployment with a setup and support fee.
EVALUATION
Evaluate without uploading anything — Pre-loaded sample datasets for every supported scale. Run the engine end-to-end on synthetic data before you decide whether to bring in real data.
IRB
Documentation your review board will accept — We publish a plain-language data flow description, a retention schedule, and a subprocessor list — the three things an IRB submission or DPIA usually asks for. Download them before you talk to your board, not after.
COMPLIANCE
HIPAA-aware — NAITUR is not a HIPAA covered entity, and the Scoring Engine is not intended for protected health information in its hosted form. If your study requires processing identified data, we will provide forward-engineering to set up on-premises deployment.
CLINICAL
Clinician oversight is non-negotiable — Suicidality items, C-SSRS responses, and safety events are never auto-classified. Always flagged for human clinician review, with full context and an audit log of every decision.
GET ACCESS
Recommended first step: Run the engine on the included PHQ-9 sample data set. Takes 90 seconds. You’ll know whether it fits your study before you ever touch real data.
Launch Scoring Engine
Launch Scoring Engine
Our Services
Begin Automating Today
Label
Interactive Data Analysis
NAITUR's AI-driven chat interface allows researchers to interact with their datasets using natural language. Securely upload data, ask questions, and receive instant insights. No coding expertise is required.
Internal Task Bots
100+ Automations
Label
Exploratory Analysis
Automate trend discovery, anomaly detection, and correlation analysis in minutes. NAITUR streamlines data wrangling, helping researchers identify key patterns faster and more accurately.
Summaries
Reports
Visualization
Label
Participant Communications
Pre-qualify, enroll, screen, and direct study participants through personalized sequences, and timely reminders to boost study compliance rates.
Lead Funnels
Landing Pages
Email Automation
Label
Document & Report Creation
Generate structured summaries, statistical interpretations, and research-ready documentation with ease. NAITUR automates report generation, saving hours of manual effort.
Strategy
Custom AI
Consulting
Join
Join our Scientific Partner Program
Inviting research partners to submit your project, and benefit from:
Instant Results
NAITUR can demonstrate actionable insights and meaningful value within the first onboarding session.
Simplicity
Unlike legacy research software products, NAITUR is simple and intuitive.
What could you do with
your data?
We look forward to working with you.
Next Steps
Starting is Simple
Step 1
Onboarding
We'll host a 90 minute complimentary strategy session with you and your team to find existing bottlenecks.
Step 2
Agreement
Our agreements are designed for straight-forward approvals and fast onboarding. Cancel anytime.
Step 3
Optimization
We build your first bespoke automation within 2 weeks so you can begin testing the value right away.
Pricing
Tailored services for your size
All plans are monthly, with 100% guarantee and complimentary onboarding.
FAQs
Common Questions
Quick answers to your AI automation questions.
Where should I think of getting started with AI in my current research?
Is AI automation difficult to integrate?
Which research tasks can benefit from AI automation?
Do I need technical knowledge to use AI automation?
What kind of support do you offer?
What could you be accomplishing with an extra 5 hours per week?
We look forward to working with you.