Software Alternatives, Accelerators & Startups

TENEKS VS React Complex Tree

Compare TENEKS VS React Complex Tree and see what are their differences

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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.

React Complex Tree logo React Complex Tree

Unopinionated accessible tree component with drag and drop
  • 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.

  • React Complex Tree Landing page
    Landing page //
    2023-10-14

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

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).

React Complex Tree features and specs

  • Customizability
    React Complex Tree offers a high degree of customizability, allowing developers to tailor the tree component to fit their specific needs. This can be especially useful for creating unique UI experiences.
  • Feature-Rich
    The library includes a wide range of features out of the box such as drag-and-drop support, keyboard navigation, and dynamic data loading, which can save development time.
  • Accessibility Support
    React Complex Tree is designed with accessibility in mind, providing support for ARIA attributes and keyboard interactions, which helps ensure that applications are usable by people with disabilities.
  • Performance
    The component is optimized for performance, handling large data sets efficiently without significant slowdowns, which is critical for applications that manage extensive hierarchical structures.
  • Community and Documentation
    The library has a supportive community and well-structured documentation, providing developers with ample resources to troubleshoot and extend its functionality.

Possible disadvantages of React Complex Tree

  • Complexity
    Due to its extensive features and customizability, React Complex Tree can be complex to set up and configure properly, which may lead to a steeper learning curve for new users.
  • Bundle Size
    As a feature-rich component, React Complex Tree can increase your bundle size, which might be a concern for projects where performance and loading time are critical.
  • Third-Party Dependency
    Relying on a third-party library introduces dependencies outside of your control, which may present challenges in terms of long-term maintenance and potential update or deprecation issues.
  • Specific Use Case Tailoring
    While it offers a lot of features, developers may find that very specific use cases require additional effort to customize or extend the component beyond its intended use.

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 React Complex Tree

Overall verdict

  • React Complex Tree is a solid, headless React library for building tree-view UI components, offering strong accessibility support, drag-and-drop, multi-selection, and search out of the box, while giving developers full control over styling and rendering. It's a good choice for developers who need a robust, unstyled tree component without reinventing complex interaction logic.

Why this product is good

  • Headless design gives full control over styling and markup, making it easy to integrate with any design system or CSS framework
  • Built-in accessibility (ARIA-compliant, keyboard navigation) saves significant development time
  • Supports advanced features like drag-and-drop reordering, multi-selection, and renaming out of the box
  • Actively maintained with good documentation and TypeScript support
  • Flexible data model that supports both controlled and uncontrolled tree state management
  • Free and open-source with no licensing costs

Recommended for

  • Developers building file explorers, folder structures, or nested navigation menus
  • Teams that need a customizable tree component that matches their existing design system
  • Projects requiring accessible, keyboard-navigable tree interfaces
  • Applications needing drag-and-drop reordering of hierarchical data
  • TypeScript-based React projects seeking type-safe tree components
  • Developers who prefer headless UI libraries over pre-styled component kits

Category Popularity

0-100% (relative to TENEKS and React Complex Tree)
Conversation Intelligence
Design Tools
0 0%
100% 100
Sales Intelligence
100 100%
0% 0
Developer Tools
0 0%
100% 100

Questions & Answers

As answered by people managing TENEKS and React Complex Tree.

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

Share your experience with using TENEKS and React Complex Tree. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, React Complex Tree seems to be more popular. It has been mentiond 2 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.

React Complex Tree mentions (2)

  • I'm building react-complex-tree, an unopinionated tree component for react, and recently released a new version!
    You can find the source code for it at https://github.com/lukasbach/react-complex-tree, and documentation and examples at https://rct.lukasbach.com. Source: over 3 years ago
  • I made an Unopinionated Accessible Tree Component with Multi-Select and Drag-And-Drop
    More examples on the customizability, in-depth documentation and a typing API is available at the documentation homepage: https://rct.lukasbach.com/. Source: about 5 years ago

What are some alternatives?

When comparing TENEKS and React Complex Tree, 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.

Pagedraw - Beta release - Compile UI Mockups to React Code

CallZen.AI - Conversational AI for Customer Success

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.

Nimitai - AI sales-call prep & prospect research for B2B sales teams. 90-second pre-meeting dossier, real-time coaching during the call, analysis after. The Gong alternative that preps you before the call โ€” $149/seat/month.

Salesken - Salesken.