Clara calls your loved ones every day, has warm conversations, analyzes mood and cognition with Deepgram's NLP, and sends you a real-time wellness dashboard β so you're never out of the loop.
Good morning
Dorothy's Dashboard
Cognitive Score
75/100
Conversations
12
Mood Today
π Happy
0
Cognitive Metrics Tracked
0/7
Always Monitoring
0
NLP Features per Call
0s
Alert Response Time
Features
Clara calls daily with warm, personalized conversations β adapting tone and topics to each person's life story and preferences.
Every conversation is analyzed with Deepgram's summarization, sentiment analysis, topic detection, and intent recognition β all in one API call.
Track 5 NLP metrics over time β vocabulary diversity, topic coherence, repetition, word-finding pauses, and response latency β with interactive charts.
Instant, plain-English alerts when cognitive scores deviate from baseline β with severity levels, suggested actions, and empathetic framing.
Personalize Clara's conversations with era-specific memories β favorite music, life events, hobbies β to boost engagement and cognitive stimulation.
Every morning, families receive a warm email: how she's doing, mood summary, conversation highlights, cognitive trends, and actionable tips.
Detects memory inconsistency patterns β when answers shift from "yes" to "not sure" to "I forgot" within the same conversation.
Full searchable transcripts of every call β with mood tags, engagement scores, safety flags, and topic breakdowns for each session.
Real-time wellness view with cognitive scores, mood tracking, trend charts, downloadable PDF reports, and one-click alert acknowledgment.
How It Works
Clara calls your loved one daily with warm, engaging conversations β drawing on nostalgia prompts, hobbies, and their personality to keep things natural.
The full transcript goes through Deepgram's Text Intelligence β extracting summary, sentiment, topics, and intents. Our elder-care layer detects safety flags, medication compliance, and loneliness signals.
View real-time cognitive trends, receive plain-English alerts with suggested actions, and get humanized daily digest emails β all from one dashboard.
Under the Hood
Every conversation goes through Deepgram's Text Intelligence in a single/v1/readrequest β no separate calls, no multiple APIs. The model handles the semantic heavy lifting.
Summarization
Concise recap of what was said, written for family members
Sentiment
Overall mood detection β positive, negative, or neutral
Topics
Semantic topic extraction β the model understands context, no keyword matching needed
Intents
What the patient is expressing β requests, concerns, questions
# One Deepgram call β four intelligence features
response = await client.post(
"/v1/read"
# summarize, sentiment, topics, intents
)
# Deepgram handles the semantics,
# our layer adds elder-care context:
safety_flags = _scan_safety_keywords(transcript)
medication = _extract_medication_status(..)
memory = _detect_memory_inconsistency(..)
For Families
Distance shouldn't mean disconnection. ClaraCare bridges the gap between busy lives and aging loved ones β providing daily companionship, clinical-grade cognitive monitoring, and immediate family alerts when something changes.
Safety keyword detection for suicidal ideation, falls, and self-harm
Warm, empathetic conversations β not robotic scripts
Nostalgia therapy personalized to their life story and era
5 cognitive metrics tracked and trended over time
Humanized daily digests β mood labels, not raw numbers
Fewer words than usual today
π‘ Try asking about the garden β it usually gets the conversation going
Today's Call β 8 min
βTalked about grandchildren visiting last weekend and mentioned missing family. Mood: happy. Engagement: high.β
How she's doing
She's doing well today βοΈ
Give your loved ones the daily companionship they deserve β and give yourself the peace of mind you need.