MAKRR AI

Founders, Backgrounds, and Bench

MAKRR AI is led by co-founders Nikhita Bhagwat and Animesh Bajpai. Bhagwat is based in Tallinn, Estonia, while Bajpai directs an office in Gurugram, India [LinkedIn]. The team size is estimated at 1-10 employees [LinkedIn].

Summary and Signal

MAKRR AI is an early-stage Estonian startup building a no-code, hardware-agnostic platform that allows non-technical teams to train and deploy custom computer vision models. The company evolved from Trashify Tech, which initially focused on waste management, and its wedge was a tool that enabled frontline waste workers to train models using their own video footage [F6S]. The core offering connects to existing cameras, drones, and robotics, providing an AI-assisted annotation workflow in the cloud and deployment to edge devices for real-time monitoring and alerts [makrr.ai, retrieved 2024].

Public funding is limited to a single seed round of $40,000 from BSV Ventures in September 2023, supplemented by participation in accelerator programs like Beamline Cleantech Accelerator [BounceWatch]. The business model is SaaS, with pricing tiers that suggest a focus on pilot deployments and small teams [makrr.ai, retrieved 2024].

Data Accuracy: YELLOW -- Core product claims are confirmed by the company website, but funding details rely on a single secondary source and team size is estimated.

Company Overview

MAKRR AI was founded in 2022, emerging from an earlier venture called Trashify Tech which focused on a smart trash can for waste sorting [Perplexity Sonar Pro Brief]. The founders, Nikhita Bhagwat and Animesh Bajpai, shifted focus after realizing the broader potential of the underlying tooling, which allowed non-technical waste workers to train computer vision models using their own video footage [Perplexity Sonar Pro Brief].

The company is headquartered in Tallinn, Estonia, and maintains a secondary office in Gurugram, India [LinkedIn]. Key milestones include participation in accelerator programs, specifically the Beamline Cleantech Accelerator batch #2 and Re_source 3.0 [F6S]. The company's only publicly disclosed equity funding is a seed round of $40,000 led by BSV Ventures in September 2023 [BounceWatch].

Data Accuracy: YELLOW -- Company details and founding story are corroborated by multiple directory sources and the company's own narrative, but the specific funding amount is reported by a single source.

The Product and the Stack

The core proposition is a hardware-agnostic, no-code platform that abstracts the complexity of building and deploying custom computer vision models. Users connect video feeds from existing infrastructure, annotate footage with AI assistance, and deploy trained models to edge devices, all through a web interface designed for non-technical operators [makrr.ai, retrieved 2024].

Key product surfaces include the ability to connect to a wide range of video sources, including CCTV, RTSP streams, USB cameras, drones, and robotics systems [makrr.ai, retrieved 2024]. The platform outputs operational monitoring dashboards, anomaly detection alerts, and exportable reports [makrr.ai, retrieved 2024]. The public pricing page indicates a usage-based SaaS model, with one plan limiting users to "Up to 2 models per month" and "Up to 3 devices" [makrr.ai, retrieved 2024].

Data Accuracy: YELLOW -- Product claims are consistently described across the company website and secondary directories, but technical implementation details and performance benchmarks are not publicly verified.

The Market They Are Entering

The global industrial AI market was valued at approximately $3.2 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 46.4% from 2023 to 2030 [Grand View Research, 2023]. The company's focus on waste management, smart cities, and defense aligns with high-growth segments within this larger market.

Metric	Value
Industrial AI Market (2022)	3.2 $B
Projected CAGR (2023-2030)	46.4 %

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous third-party report. Demand drivers and sector focus are cited from company materials and a research brief.

The Competitive Field

MAKRR AI enters a fragmented market for computer vision tools, positioning itself as a hardware-agnostic, no-code layer for non-technical teams. The competitive field includes large-scale cloud AI platforms (Google Vertex AI, Microsoft Azure AI Vision, AWS SageMaker), pure-play computer vision startups (Landing AI, Roboflow, V7 Labs), and vertical-specific software vendors (Cognex, Keyence, FourKites).

Data Accuracy: YELLOW -- Competitive analysis is inferred from market structure; no named competitors are publicly cited in company sources.

Opportunity

The potential outcome for MAKRR AI is a platform that becomes the default no-code visual intelligence layer for the physical operations of industrial and smart-city technology providers. The company's positioning as an embeddable layer for technology providers and integrators is the critical wedge [makrr.ai, retrieved 2024].

Data Accuracy: YELLOW -- Opportunity analysis is based on company positioning and product claims from its website and a third-party brief.

Sources

1. [makrr.ai, retrieved 2024] MAKRR | Turn Any Camera Into a Smart Sensor. No Code Needed. | https://www.makrr.ai/
2. [F6S] Trashify Tech - F6S | https://www.f6s.com/trashify-tech
3. [LinkedIn] MAKRR AI | LinkedIn | https://www.linkedin.com/company/makrr-ai/
4. [BounceWatch] MAKRR AI - BounceWatch | https://bouncewatch.com/company/makrr-ai
5. [Grand View Research, 2023] Industrial Artificial Intelligence Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/industrial-artificial-intelligence-market-report