AI that understands
behavioral data.
Four Pillars of Intelligence
AI that works the way clinicians think
Our AI doesn't just crunch numbers. It understands the clinical context of ABA data and provides insights that mirror how experienced BCBAs analyze behavioral patterns.
Trend Detection
Automatically identifies patterns across sessions. Detects improving, declining, stable, or variable trends with statistical confidence scoring.
Mastery Assessment
Continuously evaluates progress toward mastery criteria. Calculates percentage to mastery and estimates remaining sessions to criterion.
Clinical Recommendations
Generates evidence-based treatment suggestions including prompt fading schedules, reinforcement adjustments, and generalization strategies.
Session Notes Generation
Auto-generates comprehensive clinical documentation with goals addressed, data summary, behavior observations, and follow-up actions.
Seamless Workflow
From data to insights in seconds
No manual analysis. No waiting. Collect data and let AI deliver insights immediately.
Data Collection
Therapists collect behavioral data during sessions using any of our 18 data collection methods. Every data point is timestamped and structured.
AI Processing
Claude analyzes the collected data against clinical baselines, treatment goals, and evidence-based ABA literature. Processing happens in real-time after each session.
Actionable Insights
Receive trend analyses, mastery assessments, clinical recommendations, and auto-generated session notes. All insights are ready for clinical review.
Know if treatment is working
Our AI calculates trend direction, slope, and statistical confidence across any time window. It detects when a behavior is accelerating, decelerating, or showing too much variability for reliable interpretation.
Improving
Statistically significant upward trend detected. AI calculates rate of improvement and projects mastery timeline.
Declining
Downward trend flagged for review. AI alerts the BCBA and suggests potential intervention adjustments.
Stable
Behavior at a plateau. AI evaluates if mastery criteria are met or if a phase change may be warranted.
Variable
High variability detected. AI recommends extending the data window before making treatment decisions.
Trend Analysis
Manding - Last 15 sessions
Direction
Improving
Slope
+1.2 / session
Confidence
92%
AI Insight
"Consistent upward trend with low variability. Client is averaging +1.2 mands per session. At this rate, mastery criterion of 20 independent mands will be reached in approximately 3 sessions."
Mastery Dashboard
Alex M. - All Active Goals
Manding (verbal requests)
18/20 independent
Tacting (labeling items)
31/50 correct
Intraverbal (Q&A)
17/50 independent
Play skills
3/20 steps mastered
Phase Change Detected
"Manding" has met baseline criteria. AI recommends advancing to generalization phase.
Know exactly where every goal stands
AI continuously evaluates each goal against its mastery criteria and provides a real-time picture of progress. No more manual calculations or guesswork about when a client will master a skill.
Current performance level
See the exact count or percentage of correct responses against the mastery target at all times.
Percentage to mastery
A clear progress bar shows how far each goal is from the clinician-set mastery criterion.
Estimated sessions to mastery
AI projects how many more sessions are needed based on the current rate of progress.
Phase change detection
Automatically detects when data suggests a phase change is warranted and recommends next steps.
Evidence-based treatment suggestions
AI analyzes behavioral data patterns and generates clinical recommendations grounded in ABA research. Every suggestion cites evidence-based practices and accounts for the individual client's data profile.
Treatment adjustments
Suggests modifications to reinforcement schedules, teaching procedures, and environmental arrangements based on response patterns.
Prompt fading suggestions
Recommends when and how to fade prompts based on the learner's demonstrated independence across recent sessions.
Generalization strategies
Identifies skills ready for generalization across settings, people, and materials, with specific implementation steps.
AI Recommendations
Generated after Session #47
Prompt Fading - High Priority
Client has responded independently on 85% of manding trials across 3 consecutive sessions. Recommend fading from gestural to no-prompt condition.
Reinforcement Thinning
Current VR-2 schedule has maintained behavior above criterion for 5 sessions. Consider advancing to VR-3 to promote maintenance.
Generalization Probe
Manding skill mastered in clinic setting. Recommend probe trials in home and community settings to assess generalization.
Clinical documentation in seconds, not hours
AI generates comprehensive 6-section clinical session notes immediately after each session. Edit, approve, and include in your reports.
Section 1
Goals Addressed
Lists all treatment goals targeted during the session, with the specific programs run and number of trials or opportunities presented.
Sample output
"Manding (20 trials), Tacting (15 trials), Social greetings (5 opportunities)"
Section 2
Data Summary
Quantitative summary of all collected data including percentages, rates, and comparison to previous sessions.
Sample output
"Manding: 85% correct (up from 78%). Tacting: 62% correct (stable). Social greetings: 3/5 independent."
Section 3
Behavior Observations
Narrative description of any notable behaviors observed, including frequency, duration, and contextual information.
Sample output
"One episode of elopement (12 seconds) during transition to table work. No other challenging behaviors observed."
Section 4
Interventions Used
Documents teaching procedures, behavior management strategies, and any modifications made during the session.
Sample output
"DTT with 3-second inter-trial interval. Errorless learning for new tact targets. Token board with VR-2 exchange."
Section 5
Parent Communication
Summary of information shared with caregivers, including progress updates, home practice recommendations, and concerns discussed.
Sample output
"Shared manding progress chart. Recommended practicing requesting during snack time. Parent reported increased manding at home."
Section 6
Follow-Up Actions
Next steps, goals for upcoming sessions, materials needed, and any coordination items with the treatment team.
Sample output
"Begin generalization probes for manding next session. Prepare new tact targets (vehicles). Update token board schedule."
See what AI analysis actually looks like
Here is a realistic example of what BehaviorIQ's AI generates after a therapy session.
AI Session Analysis
Client: Alex M. | Session #47 | Feb 12, 2026
Trend Analysis
Client demonstrates a consistent upward trend in manding behavior across the last 15 sessions (slope = +1.2 responses/session, r = 0.91, p < 0.01). Current rate of 18 independent mands per session represents a 156% increase from baseline (7 mands/session). Variability is low, with a coefficient of variation of 12%.
Mastery Status
18 of 20 independent mands achieved (mastery criterion: 20 independent mands across 3 consecutive sessions). Current session: 2 of 3 consecutive sessions at criterion. Estimated 1-3 sessions to mastery.
Recommendations
- Begin planning generalization probes across settings (home, community) as mastery is imminent.
- Fade gestural prompts to natural cue condition for the 2 remaining non-mastered mand frames.
- Advance reinforcement schedule from VR-2 to VR-3 to promote maintenance.
- Introduce 3 new mand targets to prevent skill plateau post-mastery.
Generated Session Note (Excerpt)
"Session #47 targeted manding, tacting, and social greetings. Client demonstrated 85% correct responding on manding trials (17 of 20), representing continued improvement from 78% last session. Independent mands included 'I want [item],' 'Can I have [item],' and 'More [item] please.' One episode of elopement was observed during transition (12 seconds duration), managed with physical proximity and first-then board. Parent was provided with updated progress graph and encouraged to practice requesting during meal and snack routines at home."
Generated by Claude AI | Analysis confidence: 92%
AI that assists. Never replaces.
BehaviorIQ's AI is designed as a clinical decision support tool. It empowers BCBAs with faster insights while keeping the clinician firmly in control of all treatment decisions.
Clinical Judgment First
AI provides recommendations, never directives. Every AI-generated insight is presented for review and approval by a qualified BCBA before any treatment modifications are made.
- All outputs require clinician review
- One-click approve or override any suggestion
- AI explicitly flags uncertainty in its analysis
HIPAA Compliant
All data is encrypted at rest and in transit. PHI is processed in compliance with HIPAA regulations. We maintain BAAs with all infrastructure providers.
- AES-256 encryption for all stored data
- TLS 1.3 for all data in transit
- SOC 2 Type II compliant infrastructure
Data Privacy Guaranteed
Your client data is never used to train AI models. Data stays yours. We use Anthropic's Claude with enterprise privacy protections to ensure zero data retention.
- Zero data retention by AI provider
- No training on your clinical data
- Complete data portability and deletion rights
AI is a tool, not a clinician
BehaviorIQ's AI analysis is intended to support clinical decision-making, not replace it. All AI-generated recommendations should be reviewed by a qualified BCBA or BCBA-D before implementation. The AI does not diagnose conditions, prescribe treatments, or make autonomous clinical decisions. Licensed clinicians retain full responsibility for treatment planning and implementation.
Let AI handle the analysis.
You focus on the therapy.
Join hundreds of ABA professionals using AI to spend less time on documentation and more time delivering life-changing therapy.
Free 14-day trial · No credit card required · AI features included in Clinic plan