Services
AI & Data Solutions
AI & ML Solutions
Custom machine learning models for real business use cases.
Chatbot Development
Conversational AI with context awareness and escalation.
Data Analytics
ETL pipelines, warehousing, and dashboards that give answers.
Business Intelligence
Self-service BI with custom dashboards.
Predictive Analytics
Forecasting for demand, churn, pricing, and inventory.
AI Integration
Adding AI capabilities to existing products.
AI Agent Development
Autonomous AI agents that use tools, take actions, and complete multi-step work.
Generative AI Development
Custom generative AI for text, image, code, and media — built into your product.
AI Consulting
Strategy, roadmap, and feasibility — find where AI actually pays off.
LLM Development
RAG, fine-tuning, and evals — large language models built for production.
AI Automation
AI-driven workflow automation that removes repetitive manual work.
Industries we serve
Healthcare
HIPAA-ready platforms, telehealth & patient systems
Fintech
Payments, wallets & secure banking apps
E-commerce
Storefronts, checkout & marketplace builds
Education
LMS, e-learning & student portals
Real Estate
Listings, CRM & PropTech solutions
Logistics
Fleet, tracking & supply-chain automation
Gaming
Game backends, multiplayer & iGaming
Entertainment
Streaming, media platforms & OTT apps
We build voice agents that answer your phone line, hold a real conversation, and write the outcome straight into your systems — then hand the call to a person the moment it needs one. No menu trees. No per-minute reseller margin.
24/7
Call coverage, no rota
<800ms
Target response latency
90%
Less manual call entry
4.8★
Average client rating
The Agent
It picks up the phone. It transcribes the caller as they speak, works out what they want, asks only for the details still missing, performs the action in your systems, and confirms it back — all inside the call.
Voice is a harder problem than chat, and the difference is timing. Everything in the pipeline has to stream, or the agent sounds broken by the second exchange.
Inbound call · connected
+1 (604) ••• 2210 · no queue, no menu
Answers on the first ring — any hour, any number of calls at once.
Speech to text streams while the caller is still talking, not after silence.
Resolves the intent and works out which details are still missing.
Requests only what it does not already have. Nothing gets asked twice.
Writes to your system mid-call and reads the result back to the caller.
A caller cannot re-read a detail they missed, so the agent has to hold context and repeat it back unprompted.
Chat excuses a pause. On a call, two seconds of silence reads as a dropped line — timing is the whole product.
People talk over each other. Barge-in has to cut the agent off mid-word the way a person would stop talking.
Build time
10–14 weeks
Team
3–4 engineers
Telephony
Twilio, SIP, or your PBX
Languages
Multilingual from day one
Handoff
Warm transfer to a human
Roughly half of inbound calls to service businesses arrive outside staffed hours. A voicemail box is not a safety net — most callers hang up and dial the next number on the search results page.
A booking is taken by phone, then keyed into a sheet, a CRM, or a dispatch board. The transcription step adds delay and introduces exactly the errors that cause a missed pickup or a double booking.
Press-one-for-sales trees were tolerated because there was no alternative. Callers now abandon them at high rates, and the ones who stay arrive at your team already irritated.
An off-the-shelf voice bot handles the easy 60% and then dead-ends. Without a clean escalation path the caller repeats everything to a human, which is worse than never automating at all.
The Pipeline
Six stages, all streaming. Any one of them running batch-style instead of continuously is enough to make the whole agent sound wrong.
Inbound through Twilio, a SIP trunk, or your existing PBX. Number, time, and any CRM match are resolved before the agent speaks a word.
Audio transcribes continuously rather than waiting for silence. That streaming step is what makes the agent feel responsive instead of walkie-talkie.
The model works out what the caller wants and which details are still missing — date, address, service, account — then asks only for those.
Text to speech with a consistent voice, streamed as it generates. Barge-in is handled, so a caller interrupting stops the agent mid-sentence like a person would.
Booking created, record updated, ticket raised — written to your CRM, calendar, or ops sheet during the call, not queued for later.
Ambiguity, high value, or an explicit request routes to a human with the transcript and collected details already on screen.
Capabilities
Platform vs Custom
How We Work
We review recordings and transcripts from your actual inbound traffic. Scripts written from imagination fail on contact with real callers.
Intents, required fields, escalation triggers, and failure paths get mapped — including what the agent does when it does not understand.
Telephony, speech pipeline, and integrations are built together, then tuned against recorded calls until latency and accuracy hold up.
The agent runs on a subset of calls first, with humans reviewing transcripts daily. Volume increases only as the numbers justify it.
Why Ethersofts
Streaming at every stage of the pipeline. A voice agent that pauses for two seconds gets hung up on, no matter how good the answer was.
We map escalation before happy paths, because the calls that go wrong are the ones that damage your reputation.
One agent handling several languages, switching to whatever the caller uses, rather than a separate number per language.
Structured data into your CRM, calendar, or sheet during the call, with validation so bad input is caught while the caller is still on the line.
Disclosure, consent capture, retention windows, and redaction of sensitive fields built to your jurisdiction’s rules.
Full source, prompt library, and provider accounts in your name. Swap speech or model vendors later without rebuilding.
“We needed a HIPAA-compliant telehealth platform fast — video visits, e-prescriptions, EHR sync over HL7 FHIR. Ethersofts shipped it in 11 weeks, passed our security audit on the first pass, and onboarded 4,000 patients in month one.”
Dr. Anita Rao
Chief Medical Officer · CareBridge Health · Toronto, Canada
If your question isn't here, ask it. You'll get a real answer from an engineer within 24 hours — not a sales pitch.

An AI voice agent answers and holds real phone conversations. It transcribes the caller in real time, works out what they want, asks for any missing details, takes the action — booking, updating a record, raising a ticket — and hands off to a human when it should. Unlike an IVR, the caller speaks naturally instead of navigating a menu.
Voice has constraints text does not. There is no scrollback, so the agent must hold context by memory; there is no typing indicator, so any pause reads as a failure; and callers interrupt. That means streaming speech recognition, barge-in handling, and sub-second response targets. A chatbot ported to a phone line sounds broken within two turns.
We target under 800 milliseconds from the caller finishing to the agent beginning to speak, which is roughly the pause length people expect in conversation. Hitting that requires streaming transcription, streaming synthesis, and keeping the model call on the critical path as short as possible.
It transfers to a human — warm, not blind. The person receiving the call gets the transcript and the details already collected, so the caller does not repeat themselves. Escalation triggers are configurable: explicit request, repeated misunderstanding, high-value account, detected frustration, or any topic you flag as human-only.
Twilio most often, but also Vonage, Telnyx, a direct SIP trunk, or an existing PBX such as Asterisk or FreeSWITCH. If you already have numbers and a carrier relationship, we build onto that rather than asking you to port everything.
Yes, and usually on the same number. The agent detects the language the caller is using and continues in it, including mid-call switches. This works far better than routing each language to a separate line, which callers rarely navigate correctly.
Ten to fourteen weeks for a production agent: telephony, speech pipeline, conversation design, integrations, escalation, and monitoring. A narrow single-intent agent — appointment booking only, for example — can be live in six. We shadow real calls before taking any live traffic.
You pay the underlying providers directly — telephony per minute, speech recognition, model inference, and text to speech. For most deployments that lands well under the cost of the equivalent staffed coverage. We do not resell those services or add a per-minute margin, and the accounts stay in your name.
Send us a handful of recorded calls and we'll tell you honestly what can be automated and what should not be. Written scope within two working days.
