Software Alternatives, Accelerators & Startups

TENEKS VS GitHub Copilot

Compare TENEKS VS GitHub Copilot and see what are their differences

TENEKS logo TENEKS

AI-powered sales intelligence that coaches reps during live calls, not after. Real-time objection handling, 100+ languages. Install in 4 minutes โ€” no IT required.

GitHub Copilot logo GitHub Copilot

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
  • TENEKS Real Time Feedback
    Real Time Feedback //
    2026-05-19
  • TENEKS weekly progress
    weekly progress //
    2026-05-19
  • TENEKS Dashboard
    Dashboard //
    2026-05-19

Teneks.ai is an AI-powered sales coaching and conversation intelligence platform that helps reps perform better during live calls, not just after them. It provides real-time guidance for objection handling, supports 100+ languages, and installs in minutes without IT support.

  • GitHub Copilot Landing page
    Landing page //
    2023-10-03

Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.

TENEKS

Website
teneks.ai
$ Details
paid Free Trial โ‚ฌ500.0 / Monthly (5 users and a owner account)
Platforms
Windows MacOS
Startup details
Country
Estonia
Employees
1 - 9

GitHub Copilot

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Startup details
Country
United States

TENEKS features and specs

  • Sales
    We help sales managers to save 60% of their time by automatically reviewing all of the calls of their agents and provider targeted insights.
  • Meetings
    Our speaker separation and transcription service help us create the most specific summaries and other interesting analytics on top of them (ask us).

GitHub Copilot features and specs

  • Productivity Boost
    GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
  • Learning Tool
    For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
  • Support for Multiple Languages
    Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
  • Context-Aware Suggestions
    Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
  • Integration with GitHub
    Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.

Possible disadvantages of GitHub Copilot

  • Code Quality Concerns
    The quality of the code generated by Copilot may vary, and it might introduce suboptimal code or practices that could lead to maintenance challenges.
  • Security Risks
    Copilot might suggest insecure code patterns or snippets, potentially introducing vulnerabilities into the project if not carefully reviewed by the developer.
  • Dependence on AI
    Over-reliance on Copilot's suggestions can lead to a lack of deep understanding of the code, which may hinder a developer's growth and problem-solving skills.
  • Licensing and Code Reuse Issues
    There are concerns about the legality and ethics of using AI-generated code snippets that might be derived from copyrighted sources, which can lead to licensing issues.
  • Limited Customizability
    Copilot may not always align with specific coding standards or preferences of a development team, and the ability to customize its behavior to enforce such standards is limited.

Analysis of TENEKS

Overall verdict

  • TENEKS (teneks.ai) appears to be a relatively new AI-driven platform, and based on available information, it offers a functional set of tools aimed at automating specific workflows, though independent, large-scale user reviews and long-term track record are still limited, making it a reasonably good but not yet fully proven option.

Why this product is good

  • Utilizes AI to streamline and automate tasks that would otherwise require manual effort
  • Offers a modern, user-friendly interface designed for ease of adoption
  • Provides functionality that can save time for individuals or small teams
  • Pricing tends to be competitive for the feature set offered
  • Actively developed with updates suggesting ongoing improvement

Recommended for

  • Startups and small businesses looking for cost-effective AI automation tools
  • Early adopters comfortable trying newer platforms without extensive review history
  • Users seeking a straightforward AI solution for specific niche tasks
  • Teams wanting to test AI-driven workflow improvements before committing to larger enterprise tools

Analysis of GitHub Copilot

Overall verdict

  • Overall, GitHub Copilot is a beneficial tool for many developers, especially those looking to increase their productivity and experiment with new coding styles. It can be seen as an intelligent coding assistant that complements a developer's workflow rather than replaces it.

Why this product is good

  • GitHub Copilot is considered good by many because it provides AI-assisted code completion and suggestions, which can significantly speed up coding tasks and improve productivity. It leverages OpenAI's advanced language models to offer context-aware snippets and solutions that can help developers write code more efficiently, reduce errors, and explore new coding approaches.

Recommended for

  • Software developers seeking to increase productivity
  • Beginner programmers looking for contextual code suggestions
  • Experienced developers interested in exploring and discovering alternative coding solutions
  • Teams aiming to standardize code quality and reduce time spent on routine coding tasks

TENEKS videos

No TENEKS videos yet. You could help us improve this page by suggesting one.

Add video

GitHub Copilot videos

Game overโ€ฆ GitHub Copilot X announced

More videos:

  • Review - The New GitHub Copilot X Powered by GPT-4 is Here!
  • Review - GitHub Copilot X -- AI Programming Gets Better... and Scary.
  • Review - GitHub Copilot Review 2023: I Love It, But It's Not For Everyone
  • Review - Is Github Copilot Worth Paying For??

Category Popularity

0-100% (relative to TENEKS and GitHub Copilot)
Sales Intelligence
100 100%
0% 0
Developer Tools
0 0%
100% 100
AI
1 1%
99% 99
Conversation Intelligence

Questions & Answers

As answered by people managing TENEKS and GitHub Copilot.

How would you describe the primary audience of your product?

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) โ€” 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 โ€” 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.

What makes your product unique?

TENEKS's answer

TENEKS scores 100% of your sales calls โ€” not random 2% samples โ€” 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 โ€” and attaches a revenue impact to each - European language support: built from the ground up for 100+ languages including Nordic, Baltic, Estonian, and Polish โ€” 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

Why should a person choose your product over its competitors?

TENEKS's answer

Most competitors like Gong or Chorus focus on post-call analytics โ€” 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" โ€” 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 โ€” 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

What's the story behind your product?

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 โ€” 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 โ€” 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 โ€” 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.

Which are the primary technologies used for building your product?

TENEKS's answer

TENEKS is built on a modern, scalable stack:

  • Python โ€” powers the core AI/ML pipeline, including real-time audio processing, transcription, and natural language understanding
  • Node.js โ€” handles the real-time backend services, WebSocket connections for live coaching delivery, and API layer
  • Azure Cloud โ€” provides the infrastructure for scalable, low-latency deployment across regions
  • Custom LLM ensemble (7Bโ€“70B parameter models) โ€” 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.

Who are some of the biggest customers of your product?

TENEKS's answer

  • G4S
  • ร„ripรคev
  • SouthWestern Ventures

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TENEKS and GitHub Copilot

TENEKS Reviews

We have no reviews of TENEKS yet.
Be the first one to post

GitHub Copilot Reviews

  1. Stan
    ยท Founder at SaaSHub ยท
    Indispensable

    It definitely increases my productivity.

    ๐Ÿ Competitors: Tabnine

11 Best AI Coding Assistants: Top Tools Every Developer Needs in 2025ย 
Accelerated handling of repetitive tasks: You already know how to write a pagination query or scaffold an endpoint, so why waste time? Tools like GitHub Copilot or Codeium handle the boilerplate so you can focus on actual logic. For SQL-focused projects, assistants like dbForge AI can help with routine query generation, allowing DBAs and analysts to concentrate on more...
Source: blog.devart.com
Cursor vs Windsurf vs GitHub Copilot
GitHub Copilot Chat is similar โ€” you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Cursor vs GitHub Copilot
GitHub Copilot Chat is similar โ€” you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Top 10 Vercel v0 Open Source Alternatives | Medium
Next up, we have GitHub Copilot, a popular AI-powered code completion tool thatโ€™s been making waves in the developer community. Built on top of OpenAI Codex, Copilot integrates seamlessly with various code editors and IDEs to provide intelligent code suggestions as you type.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
GitHub Copilot is an excellent tool for developers, allowing them to boost their workflow and project quality. Are you looking for a GitHub Copilot alternative that fits your needs in 2024? Whether youโ€™re searching for a free GitHub Copilot alternative, an open-source alternative to GitHub Copilot, or a tool that works well with VSCode, this guide is here to help.

Social recommendations and mentions

Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TENEKS mentions (0)

We have not tracked any mentions of TENEKS yet. Tracking of TENEKS recommendations started around May 2026.

GitHub Copilot mentions (387)

  • I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.
    Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ€” Cursor, Claude Code, GitHub Copilot, Windsurf โ€” pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 30 days ago
  • GitHub Copilot for Engineers: Getting Better Results
    You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 2 months ago
  • Agentic: Which App/Harness Is Best for Angular Development?
    For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 2 months ago
  • Your Design System Needs An MCP Server
    Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 2 months ago
  • Custom Copilot Agents: Building Domain-Expert AI Teammates with Skills, MCP Tools, and Custom Knowledge
    Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing TENEKS and GitHub Copilot, you can also consider the following products

Gong.io - Gong uses AI to analyze spoken conversations from audio sources and web conferencing platforms such as Cisco WebEx, GoTo Meeting and Zoom.

Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.

CallZen.AI - Conversational AI for Customer Success

Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.

Klynt - AI sales call intelligence built for Google Meet/Zoom/Teams. Auto-records, transcribes, analyzes with MEDDIC scoring, and syncs everything to your CRM. Reps save 9 hours/week. Setup in 3 minutes.

Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโ€”no more context switching, just breakthrough results.