Loading…
San Diego, CA
Most voice agent vendors are built for consumer applications. They send audio data to cloud APIs, store transcripts on shared infrastructure, and have never thought about ITAR, CUI, or what happens when a field operator is calling from a noisy tarmac.
WayFind Labs builds voice agents for regulated environments. On-premise and GovCloud deployment. Noise-tolerant ASR tuned for field conditions. Call logging that your compliance team can actually review. Designed for San Diego defense contractors, wireless hardware companies, and life sciences organizations that cannot use off-the-shelf voice tools.
Pricing is scoped to your compliance requirements and deployment footprint. On-premise deployments run higher due to infrastructure setup. Most projects ship in 10 to 14 weeks.
Describe your use case and compliance requirements
You are a Director of Engineering at a San Diego defense, wireless, or biotech company. You have a voice interface requirement that does not fit standard consumer AI tooling. Maybe it is a field technician calling in for status updates from a noisy environment. Maybe it is an internal tool for accessing controlled documentation without touching a keyboard. Maybe it is a compliance-driven call documentation system for regulated customer interactions.
You have looked at general-purpose voice AI vendors and found that their data handling does not meet your requirements. Or your security team rejected them outright. You need a team that builds to your data boundary, not theirs.
San Diego use cases we have designed for include field service voice interfaces for defense and aerospace contractors, lab automation voice control for life sciences workflows, and internal helpdesk voice agents at wireless hardware companies where engineers need hands-free access to documentation and ticketing.
Regulated voice deployments require specific choices at each layer. Here is what changes compared to a standard voice agent build.
For environments where audio cannot leave the network boundary, we deploy locally hosted speech models. Whisper-based transcription runs on your infrastructure. TTS can use on-premise synthesis or edge-cached voice models depending on latency requirements. Cloud API calls for audio processing are disabled by architecture, not policy, so there is no configuration drift risk.
Call audio, transcripts, and metadata are routed to your designated datastore. GovCloud S3 with appropriate bucket policies, on-premise object storage, or encrypted local filesystems depending on your requirement. Retention policies and access controls are configured to match your data handling plan. Every data touch point is documented in the architecture review before build starts.
Standard ASR models trained on clean speech fail in field conditions. We configure noise-suppression pre-processing on the audio stream, use models with higher tolerance for background noise, and design shorter confirmation turns so the agent catches transcription errors before acting on them. For high-noise use cases we can add a push-to-talk interaction mode that buffers audio only when the operator is actively speaking.
Every call event is logged with timestamps, caller identity, agent decision points, and system actions taken. Log format is structured JSON, queryable for audit purposes. CUI handling is configured at the field level: some fields are logged, some are masked, some are not recorded. This is specified in discovery and reviewed by your compliance team before build starts. We do not make compliance decisions for you, but we build to the specification you provide.
San Diego has a dense concentration of defense contractors, wireless chip designers, and life sciences companies. Voice interface requirements here are different from general commercial use.
Field technicians and operators who need hands-free access to status information, work order data, or maintenance documentation. Voice agents handle the query layer and write structured records of each interaction to your systems of record. Audio stays within your network.
Chipset and wireless hardware companies in San Diego build devices with voice interface requirements baked in. We work with engineering teams to design the voice layer on top of existing hardware stacks, using on-device or edge-hosted models where cloud latency is not acceptable for the application.
Lab environments where technicians need hands-free logging, instrument control, or protocol lookup. Voice agents integrate with LIMS and ELN systems to create records, retrieve protocol steps, and document observations without requiring the operator to touch a keyboard or screen during sensitive procedures.
A fixed-scope project with full documentation for your compliance and security teams.
Every audio and data path mapped and documented before build. Reviewed by your security team before work begins.
Deployed to your infrastructure, GovCloud, or on-premise hardware. No shared multi-tenant infrastructure for regulated workloads.
Structured call logs with configurable retention, access controls, and field-level masking to match your data handling plan.
Audio pre-processing and ASR model selection tuned to your actual field or lab environment. Tested with representative background noise.
Every call flow branch has a designed exit. Warm transfers, async handoffs, or structured ticket creation depending on the workflow.
Written for your engineers and security team. Covers data handling, incident response, model updates, and audit procedures.
Yes. For CUI or ITAR-constrained environments we configure on-premise ASR and TTS using locally hosted models. This adds cost and setup time compared to cloud APIs, but keeps audio data entirely within your network boundary. We have deployed this architecture for defense sector clients and can scope it as a hard requirement from discovery.
We configure noise-tolerant ASR models tuned for high-noise conditions and apply pre-processing filters to the audio stream before transcription. For field operations, we also design shorter confirmation turns so the agent catches mishears early rather than acting on a misunderstood command. This is specified and tested in QA before handoff.
Logging is configurable. For regulated environments, transcripts can be written to an on-premise datastore, a GovCloud bucket with appropriate controls, or not stored at all depending on your compliance posture. We document the data flow in the architecture review and confirm it with your security team before build starts.
We have designed voice data pipelines with ITAR and CUI constraints in mind, including air-gapped deployment options, audit logging for all call events, and access controls on transcript data. We are not a cleared facility and cannot hold classified data ourselves, but we build the architecture to your required data handling specification and document it for your compliance review.
Include your compliance constraints upfront. We will respond with what is technically feasible within those boundaries and a scope estimate.