Customer support decision
Dena AI
A capable engineer can build a usable call-recording, transcription, and analytics prototype, but reproducing Dena’s production telephony scale, carrier integrations, and breadth of polished integrations is expensive and operationally heavy.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off74 h to build
$150/mo6 h/mo upkeep
No published price to break even against.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Accept inbound calls, record audio, transcribe audio, extract intents/sentiment, store and search conversations, present insights in a dashboard
What it still won’t have
- Production-grade telephony scale, redundancy and carrier relationships
- Breadth and polish of built-in integrations with many CRMs/calendars/booking systems
- High-availability call routing and low-latency PSTN handling
- Any proprietary ML models or labeled conversation datasets used by the vendor
- Compliance, security features, and certified data handling at scale
What remains hard
- Infrastructure at scale
We process millions of calls annually for 1000+ customers
First-year cost
No published price
Dena AI does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal AI call-insights service using Node.js + Express, PostgreSQL, and React. In scope: accept SIP/VoIP calls via a provider (e.g., Twilio or FreeSWITCH) and save recordings to S3; implement a background worker (Node or Python) that calls a speech-to-text API to transcribe recordings; run an LLM/ML step to extract intent, sentiment, and key moments; store transcripts and metadata in Postgres and index for full-text search (ElasticSearch or Postgres full-text); provide an authenticated React dashboard to list calls, play audio, view transcripts, search, and show simple analytics (calls by intent, sentiment). Out of scope: carrier provisioning, multi-region high-availability, advanced phone-tree builder UI, and SLA-grade telephony routing. Include robust error handling, retry logic for external API failures, and unit+integration tests for ingestion, transcription, and analytics pipelines.
How we checked
How the score was reached
- Partly verdict base52
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score53
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 1
Every page the run actually retrieved.
Integrity checks
What held up, and what did not.
