Zero-Footprint On-Device Capture
Passively aggregates step cadence, sleep-wake rhythm, ambient light transitions, and interaction velocity locally on the user's phone or wearable. Raw audio, video, and GPS coordinates never leave the device.
BestAgent AI silently observes behavioral patterns and ambient physical-world signals directly on-device, models subtle psychological shifts before depressive episodes escalate, and gives developers a customizable Agent SDK to deliver timely, empathetic emotional support.
Traditional wellness chatbots wait until a user types "I feel overwhelmed." BestAgent AI bridges ambient real-world context with customizable developer agents to intervene gently and early.
Passively aggregates step cadence, sleep-wake rhythm, ambient light transitions, and interaction velocity locally on the user's phone or wearable. Raw audio, video, and GPS coordinates never leave the device.
Our temporal behavioral models identify subtle signatures of emotional fatigue, social withdrawal, and depressive escalation days before acute distress—delivering calm, evidence-informed mood regulation prompts.
Purpose-built for digital health, companion apps, and employee wellness teams. Customize agent personas, intervention policies, safety guardrails, and webhook triggers through a clean REST & SDK layer.
Every deployment separates sensitive physical telemetry from cloud reasoning using compact, encrypted state embeddings.
Lightweight iOS, Android, and desktop listeners capture circadian, motion, and usage cadence in the background (<1.5% daily battery).
On-device TFLite/CoreML models convert raw signals into anonymized affective risk scores without transmitting personal logs.
BestAgent Cloud evaluates developer-defined thresholds, longitudinal memory, and clinical safety guardrails in real time.
Dispatches tailored CBT micro-exercises, breathing cues, or supportive check-ins directly through your app's agent UI.
Embed emotion-aware context into your existing LLM pipeline or launch a standalone mental-wellness agent using our managed SaaS SDK.
import { BestAgentClient } from "@bestagent/sdk";
const client = new BestAgentClient({
apiKey: process.env.BESTAGENT_API_KEY,
region: "us-central1",
});
// Subscribe to privacy-preserving edge affective vectors
client.onStateShift(async (event) => {
if (event.riskTier === "moderate_strain") {
const reply = await client.agents.composeIntervention({
agentId: "calm-companion-v2",
stateVector: event.encryptedVector,
modality: "push_checkin",
guardrails: ["non_clinical_support", "cbt_reframing"],
});
await notifyUserApp(event.userId, reply.message);
}
});
Start building in our developer sandbox free, and scale seamlessly on cloud-native infrastructure.
For prototypes, indie builders, and early pilot testing.
For digital wellness startups & production AI apps.
For healthcare platforms, EAPs, and large ecosystems.
Our team combines low-level on-device machine learning, scalable SaaS infrastructure, and human-centered mental wellness research.
Systems architect and AI product founder with extensive experience in edge computing and human-centered software. Leads BestAgent AI's product vision, privacy-first telemetry architecture, and developer ecosystem strategy.
Ph.D. in Affective Computing and Multimodal Machine Learning. Previously engineered ultra-low-power on-device sensor fusion pipelines for mobile health applications, overseeing BestAgent's edge inference models and encrypted context engine.
Eight years building cloud-native SaaS APIs and evidence-informed digital wellness tools. Architects the BestAgent Developer SDK, customizable agent policy engine, and non-clinical intervention safety guardrails.
Building a mental wellness companion, digital health app, or proactive care agent? Tell us about your use case and we'll provision your sandbox API credentials.