Enterprise-grade from day one
Investors don't fund demos. They fund systems that can scale. Squawker is built on best-in-class providers with a security model designed for multi-tenant SaaS, real-time workloads, and high-volume voice traffic.
Built on trusted providers
We use proven infrastructure so we can focus engineering effort on product, reliability, and security, not reinventing commodity layers.
Designed for scale, reliability, and governance
Built to scale horizontally
Stateless web compute on Vercel plus managed Postgres in Supabase. Scale is handled by adding capacity, not re-architecting.
Multi-tenant data isolation
Tenant separation is enforced at the database layer with row-level security (RLS), not just in application code.
Real-time by default
Events, timelines, and dashboards update live using Supabase real-time capabilities. No polling-only UX.
Operational readiness
Sentry instrumentation is in place across client, server, and edge with release tracking so issues are found fast and fixed safely.
Architecture highlights
Squawker is a multi-tenant SaaS platform architected for scale from day one. Each tenant's data is logically isolated with row-level security enforced at the database layer.
Calls are processed in real time through a carrier-grade telephony layer, streaming speech-to-text, and conversational AI. That lets Polly speak naturally, qualify intent, and produce a live transcript while the call is happening.
After the call, Squawker writes back to the system of record: recordings and transcripts attached to the contact timeline, structured outcomes and intent classification, and tasks/reminders created or updated for follow-up.
The product runs as a modern web + mobile stack on managed infrastructure, with Postgres as the system of record and real-time updates for dashboards and timelines.
These layers are modular by design. Where enterprise requirements demand it, we can support alternative providers and regional hosting options without changing the customer-facing workflow.
Monitoring, reliability, and release discipline
Enterprise systems aren't defined by feature lists. They're defined by how they behave under stress, how quickly issues are detected, and how safely changes are shipped.
End-to-end Sentry instrumentation
Client, server, and edge runtimes instrumented for fast root cause analysis with rich context.
Performance traces
Transaction tracing to catch latency regressions early, before they become customer-visible.
Release health
Deployments are tagged with commit-based releases so errors correlate directly to what changed.
Privacy-safe session replays
Replay sampling is enabled with full text masking and media blocking for safe debugging.
Security & compliance
CCPA & US state privacy
California and US state privacy compliance first. Data handling aligned to CCPA and applicable state laws.
TCPA & call recording consent
Call recording consent and disclosure configurable per jurisdiction. TCPA-aware handling for outbound and consent flows.
GDPR (UK & EU)
Full UK and EU data protection compliance. Data processing agreements available.
Data residency
Choose where your data lives. US and EU (Netherlands) options; UK hosting available.
SOC 2 pathway
Currently in SOC 2 Type II preparation. Target completion H2 2026.
Encryption
TLS in transit and encryption at rest via managed infrastructure providers.
Secure defaults
Clickjacking protection, HSTS, and hardened security headers configured at the edge.
How we think about security
We design around least privilege, defense-in-depth, and verifiable controls. Sensitive credentials stay server-side, data access is governed by database policies, and production issues are monitored with end-to-end observability.
Questions about our technology?
We're happy to discuss architecture, security, and compliance requirements.
Contact us →