TENEKS's answer

TENEKS scores 100% of your sales calls — not random 2% samples — and finds the exact sales behaviors that are leaking revenue. While most conversation intelligence tools analyze calls after they end, TENEKS works during and after the conversation, detecting deal-killers across every stage (Intro, Discovery, Pitch, Closing) and delivering real-time coaching suggestions to reps on screen.

What sets it apart: - Full call coverage: every client call is scored automatically, so revenue patterns hiding in the other 98% are surfaced - Deal-killer detection: pinpoints specific behaviors like pitching before confirming pain, missed follow-up questions, or weak objection handling — and attaches a revenue impact to each - European language support: built from the ground up for 100+ languages including Nordic, Baltic, Estonian, and Polish — languages where most competitors fall short on transcription and speaker separation - 4-minute setup: desktop app for Windows/macOS or web platform, no IT tickets or admin permissions needed, works with Zoom, Teams, Meet, or any VOIP

Skaala.ai's answer:

Most AI receptionists do one thing: answer calls or book appointments or take payments. Skaala does all three on a single call, in 70+ languages, and you set it up by forwarding your existing number — no porting, no menu trees, no prompt engineering.

• Full call lifecycle in one conversation: greet → qualify → book → take payment → SMS confirmation → CRM update
• 70+ languages with native-quality voice
• 5-minute setup via call forwarding
• Flat $29/month — no per-minute charges
• Built on production voice AI (ElevenLabs) and reasoning models (OpenAI)

TENEKS's answer

Most competitors like Gong or Chorus focus on post-call analytics — by the time their feedback reaches the rep, the deal is already cold. TENEKS intervenes in the moment, giving reps on-screen coaching suggestions while they're still talking to the prospect.

Key reasons to choose TENEKS: - Real-time coaching, not post-mortem reports: managers set the weekly coaching focus on Monday, reps get live guidance during calls, and progress is tracked by Friday - Better diagnosis: TENEKS doesn't just say "the call was bad" — it tells you the rep pitched in the first 90 seconds without asking a follow-up question, and that this pattern costs you a specific amount in lost revenue - European language support that actually works: built from the ground up for 100+ languages including Nordic, Baltic, Estonian, and Polish — with accurate transcription and speaker separation in languages where most US-built competitors perform poorly - Self-refining playbook: the system learns from your top closers' winning patterns and builds a playbook that writes and improves itself over time - No workflow disruption: installs in 4 minutes, works with existing tools (Zoom, Teams, Meet, any VOIP), no IT involvement required

Skaala.ai's answer:

• Versus answering services like Smith.ai or Ruby: Skaala costs roughly one-tenth as much, works 24/7 in any language, and actually books appointments and takes payments. Most answering services just take messages.
• Versus voice AI platforms like Retell, Vapi, or Bland: those are developer toolkits. Skaala is the finished product — a small business owner connects a calendar, forwards their number, and they're live. No prompts to write.
• Versus IVR menus and voicemail: callers hang up on both. Skaala holds a real conversation in the caller's own language.
• Pricing: flat $29/month. Most voice-AI competitors charge $0.10–$0.30 per minute, which scales unpredictably with call volume.

TENEKS's answer

Companies with structured sales organizations that already invest in their sales process. Specifically:

• Sales teams using softphones (Zoom, Teams, Meet, or any VOIP) that record their calls as part of standard workflow
• Organizations already doing post-call analysis (PCA) — they review call recordings to identify rep gaps, coach on weak spots, and track improvement. TENEKS automates and scales this process by scoring 100% of calls instead of random samples
• Sales managers and revenue leaders who want to close the gap between top performers and the rest of the team, but don't have time to manually review hours of recordings every week
• Mid-market and enterprise B2B companies with dedicated sales teams, AEs, and SDRs — especially those operating across European markets where language support for Nordic, Baltic, and Eastern European languages is critical

TENEKS is built for teams that take coaching seriously and want to turn their existing call recording infrastructure into an always-on coaching engine.

Skaala.ai's answer:

Owner-operators and small teams (1–50 employees) where every missed call is lost revenue.

Common verticals: - Salons, barbershops, beauty - Dental, medical, and veterinary clinics - Trades: plumbing, electrical, HVAC, locksmith - Restaurants taking reservations - Real estate agents - Lawyers, accountants, financial advisors - Cleaning and home services

Common thread: the phone is still their primary booking channel, they don't have (or can't afford) a dedicated receptionist, and they often serve customers in more than one language.

TENEKS's answer

TENEKS was born from a real problem the founder experienced firsthand. While working in Saudi Arabia, he was tackling the challenge of sales conversation intelligence for Arabic dialects — a space where modern tools performed poorly at both transcription and speaker separation.

During a Christmas visit home to Estonia, he realized that the same technology gap existed for Estonian and other European languages. The tools built by US companies simply weren't designed for smaller, more complex languages — and the sales teams using them were getting subpar results.

When Ramadan arrived in Saudi Arabia, the founder returned to Estonia to incorporate the company. TENEKS was built from day one to solve the language problem that larger competitors ignore: delivering accurate, reliable sales intelligence in languages like Estonian, Nordic, Baltic, Polish, and Arabic — where transcription quality and speaker separation actually matter for coaching to work.

What started as a language-first approach to conversation intelligence evolved into a full live sales coaching platform that scores every call, detects deal-killing behaviors, and helps managers coach their teams more effectively.

Skaala.ai's answer:

Skaala was founded in 2024 by August Lönn and Andreas Alnatour, operating as Aicall AB out of Stockholm. We started after watching small business owners lose revenue every day because they couldn't answer their phones — they were cutting hair, fixing pipes, or seeing patients. The existing options weren't good enough: phone answering services were expensive and couldn't book or charge customers, IVR menus drove people away, and voice-AI developer platforms required engineering work most small businesses don't have.

Voice AI had finally reached the point where a model could handle a real end-to-end booking conversation, in any language, on the first ring. So we built the receptionist that fits how small businesses actually run: forward your number, connect a calendar, go live.

Backed by Microsoft for Startups and ElevenLabs Grants.

TENEKS's answer

• G4S
• Äripäev
• SouthWestern Ventures

Skaala.ai's answer:

• Hotel Tinget — hotel & restaurant. "The phone used to ring in the middle of breakfast service. Now Skaala handles bookings and the most common questions — so we can focus on our guests." — Jesper Grönroos
• YDA Trafikskola — driving school. "It's not just an answering machine. It helped a student find the right info, texted a course link, and they booked immediately. Bookings roll in while we are off duty — you have to keep up with the times." — Navid Qazi
• Rehabkliniken — rehabilitation clinic. "Our receptionist is retiring, but her voice keeps answering the phone with Skaala." — Anders Dahlstrand

TENEKS's answer

TENEKS is built on a modern, scalable stack:

• Python — powers the core AI/ML pipeline, including real-time audio processing, transcription, and natural language understanding
• Node.js — handles the real-time backend services, WebSocket connections for live coaching delivery, and API layer
• Azure Cloud — provides the infrastructure for scalable, low-latency deployment across regions
• Custom LLM ensemble (7B–70B parameter models) — multiple large language models of varying sizes are used for different tasks: smaller models handle fast, latency-sensitive operations like real-time objection detection, while larger models power deeper analysis like call scoring and deal-killer identification

This architecture allows TENEKS to deliver sub-second coaching prompts during live calls while still performing comprehensive post-call analysis across 100+ languages.