GenAI-powered embedded software startup CraftifAI has raised $3 million in a fresh funding round to accelerate its growth. The round saw participation from investors including IvyCap Ventures, Capital-A, Antler, and other backers.
The newly raised capital will primarily be used to expand the company’s engineering and go-to-market teams, as well as to strengthen its presence across global embedded systems, edge computing, and IoT markets.
For a startup founded just last year, this funding signals strong early confidence in its vision.
Built by Deep-Tech Insiders
CraftifAI was founded in 2025 by Pratik Sharda, a former executive at PhonePe, and Yashwant Dagar, a former senior system design engineer at Xilinx.
The combination of large-scale fintech experience and deep semiconductor expertise gives the startup a unique edge in solving one of the most complex problems in modern hardware development: embedded software automation.
Embedded systems power everything from smart appliances and industrial machines to autonomous vehicles and AI-driven devices. Yet building software for these systems remains slow, manual, and fragmented.
CraftifAI wants to change that.
What CraftifAI Orbit Actually Does
At the heart of the company’s offering is CraftifAI Orbit — an agentic AI platform designed to automate embedded software development.
In simple terms, it helps companies build, optimize, and deploy software for edge devices and IoT hardware using AI.
Key Capabilities of CraftifAI Orbit
The platform enables:
- Automated hardware-optimized code generation
- AI and ML model deployment on edge devices
- Consolidation of fragmented development toolchains
- End-to-end automation of the embedded software lifecycle
Traditionally, embedded software development requires multiple tools, manual integration, and deep hardware-specific expertise. Teams often juggle compilers, SDKs, hardware debugging tools, and testing environments separately.
CraftifAI aims to unify all of this into a single AI-driven workflow.
Why Embedded and Edge Markets Matter
As the world becomes increasingly connected, more intelligence is moving to the “edge” — devices that operate outside centralized cloud systems.
These include:
- Smart cameras
- Industrial IoT sensors
- Medical devices
- Automotive control systems
- Consumer electronics
Deploying AI models on such hardware requires highly optimized, resource-efficient code. Small inefficiencies can impact battery life, processing speed, and overall performance.
By automating hardware-aware code generation, CraftifAI hopes to drastically reduce development time while improving performance and reliability.
From Design to Manufacturing: Full Lifecycle Automation
One of the startup’s boldest goals is automating the entire embedded software lifecycle.
Instead of focusing only on coding assistance, the platform aims to support:
- System design
- Code generation
- AI/ML deployment
- Testing and validation
- Integration with manufacturing workflows
By bringing these steps into a unified AI-powered system, the company hopes to eliminate silos and reduce engineering friction.
For hardware companies, this could mean faster time-to-market and lower development costs — two critical competitive factors.
How the $3 Million Will Be Used
The fresh capital will go toward three primary areas:
1. Engineering Team Expansion
As an AI-heavy product, continuous model improvement and hardware compatibility expansion require deep technical talent. The company plans to strengthen its core engineering team to accelerate product development.
2. Go-To-Market Strategy
Beyond product innovation, the startup is investing in building a global go-to-market function. This includes partnerships, enterprise sales, and developer outreach across embedded and IoT ecosystems.
3. Global Market Expansion
The embedded and edge markets are global by nature. Manufacturers and hardware companies operate across regions. CraftifAI plans to expand into international markets where demand for embedded automation is rising rapidly.
Why Investors Are Interested
The intersection of generative AI and embedded systems represents a relatively untapped opportunity.
While GenAI has already disrupted content creation and software coding, embedded systems remain largely underserved. Automating this layer of development could unlock major productivity gains across industries.
Investors backing CraftifAI are likely betting on:
- Rapid growth in IoT and edge devices
- Increasing complexity of embedded systems
- Demand for faster hardware-software integration
- AI becoming a core layer in engineering workflows
With strong technical founders and a focused product vision, the startup is positioning itself at a high-value intersection of AI and hardware.
The Bigger Opportunity
Global demand for edge computing and AI-powered devices is rising sharply. As devices become smarter, they require:
- Efficient on-device AI processing
- Lower latency
- Improved power optimization
- Stronger security
Automating the development process for such systems could become foundational infrastructure for next-generation hardware innovation.
If CraftifAI successfully executes its roadmap, it could evolve into a core platform for embedded engineering teams worldwide.
What Comes Next
With $3 million in fresh funding, CraftifAI now enters a critical growth phase.
Its near-term priorities will likely include:
- Expanding hardware compatibility support
- Enhancing AI agent capabilities within Orbit
- Building enterprise partnerships
- Strengthening developer adoption
In a world where AI is reshaping nearly every industry, embedded systems remain one of the most technically complex frontiers. CraftifAI is betting that automation, powered by agentic AI, will redefine how engineers build the devices that power modern life.
