We build AI that listens to every sales call, scores it on 8 dimensions, and coaches each rep by the next morning. It runs on open source models, so it costs a fraction of the per-seat tools.
No manager can review 100 calls a day. So feedback arrives late, vague, or never, and reps repeat the same mistakes for months.
A missed do-not-call request. A pressure tactic. A skipped disclosure. One complaint can cost more than your whole tech stack.
You pay for every lead that rings your phone. When a rep fumbles the call, that spend is gone and nobody even knows why.
Ask a rep what to improve and you get a shrug. Specific, daily, per-call feedback is the only thing that moves the number.
Every call pulled from your phone system automatically. RingCentral, Dialpad, Aircall, GoTo, CallRail, Twilio. You change nothing.
Each call transcribed and graded on 8 dimensions: greeting, discovery, rapport, objection handling, closing, compliance and more.
Every rep gets a morning email with scores, what they did well, what they missed, and exactly what to fix today. Zero manager effort.
DNC requests, pressure tactics and missing disclosures flagged the moment they happen, not when the complaint letter arrives.
COMING SOON → an AI receptionist that answers the calls your team misses. Ask about the pilot.
Every call is downloaded, transcribed and analyzed automatically. Agents get daily scores across 8 dimensions. Compliance issues are flagged in real time. Full call and SMS history flows through an API into their core systems.
It runs on open source models, not OpenAI. We migrated the same pipeline off heavy GPU infrastructure and cut running costs by more than 90% while keeping quality. Verified with evals, not vibes.
Second system, same client. For their exam-prep product we built a private AI assistant on their own ebook and question bank: retrieval over their content, an "explain this" endpoint, and an AI coach students use for instant tutoring on any topic. Answers come from their material, not the open internet. Nobody on their team maintains it.
Most teams running AI in production overpay, badly. Expensive APIs doing jobs a small model handles. Bloated prompts. LLM calls where plain code would be cheaper, faster and auditable. The AI Scorecard measures all of it in two weeks: accuracy on your real cases, cost per task, and what an attacker can get through.
A cost-reduction roadmap, projected monthly savings, target architecture and a prioritized action list. Fixed fee, agreed before we start, and fully credited toward any build that follows.
Book the ScorecardEvery sales call transcribed, scored on 8 dimensions and turned into daily coaching for each rep. Compliance flags in real time. Built for mortgage, lending, home services and any team that sells by phone.
live in productionA private assistant on your own content: manuals, policies, training material, product docs, question banks. Staff or customers get instant, sourced answers. Your data never leaves your control.
live in productionAsk your data questions in plain English and get answers verified against your defined metrics, not guessed SQL. Anomaly alerts and auto-reports, deployable privately.
scoped on a callTwo weeks, three numbers about the AI you already run: how often it is wrong, what each answer costs, and how easily it can be tricked. Tested on your real cases, with the fixes. Most audits give you a checklist. We give you your numbers.
fixed scopeALSO AVAILABLE → AI security & guardrails review · AI receptionist (pilot) · outbound AI SDR setup. Ask on the call.
10+ years in data and AI across fintech, healthcare, e-commerce and gaming. Built and runs the 1,000 calls-a-day pipeline for a US financial services company.
AI researcher with a software engineering background. Runs model evaluation at Northstr. Every model we ship is benchmarked against your real data before it touches production.
A live system in a compliance-heavy US company. You are not our test case.
Whisper, Qwen and friends. Cheaper, private, auditable. We cut AI bills, not corners.
Kickoff to a running pipeline with scoring, alerts and CRM integration.
Your accounts, your keys, your data. We never mark up your AI bill.
Teams whose revenue depends on phone calls — home services, mortgage and lending, legal intake, clinics, agencies — and any team already paying AI bills. If your business runs on sales calls and no AI is analyzing them, that is who we work with.
Every engagement is fixed-scope and priced on a 20-minute call once we know your call volume and stack. Builds are a one-time setup plus a monthly retainer for optimization, monitoring and support. You pay your own AI infrastructure costs directly. We never mark up your AI bill. That is the whole point of us.
Yes. RingCentral, Dialpad, Aircall, CallRail, GoTo, Five9, Twilio and others. We plug into whatever you already use. Your team changes nothing.
Typically six weeks from kickoff, including agent scoring, daily coaching emails, red-flag alerts and CRM integration, with milestone checkpoints from day one.
Nowhere you do not control. We build on open source models that can run on your own infrastructure. Your recordings and documents never need to touch OpenAI or any third-party AI vendor.
We prefer it. We embed alongside your people and transfer knowledge, or act as your full fractional AI team if you do not have one in-house.