AI workloads
Built for on-device AI inference and machine-learning workloads, with dedicated neural compute blocks across the SIA family.
See technologyOriginal ISA · Branded silicon · Pune, India
TeqSil Labs is developing the SIA processor family around a clean-slate instruction set architecture, with chip lines shaped for real workloads instead of a single generic template.
India's first indigenous processor family
Proprietary. Original. Purpose-built.
ISA, microarchitecture, compilers, runtime.
Optimised for real-world workloads.
Designed for power efficiency.
India-designed. World-ready.
Engineering posture
Every SIA processor is designed end-to-end at TeqSil. AI workload acceleration is built into the architecture across the family, not treated as a discrete co-processor bolted on later.
Capabilities
Built for on-device AI inference and machine-learning workloads, with dedicated neural compute blocks across the SIA family.
See technologyHigh-performance visuals built right into the silicon — no external GPU dependency for display, media and creator workloads.
View familyHardware-rooted security designed into the architecture from the ground up, not added later through external modules.
Explore stackFrom architecture to silicon, proudly built in India — and engineered for global deployment from the first product line.
About TeqSilMarkets we design for
The SIA family is organised around concrete system classes: notebooks and desktops, aerial unmanned platforms, and AI-enabled device intelligence.
Processors for notebooks and desktops, from thin-and-light systems through performance workstations, with AI acceleration on the die.
AI-accelerated, low-power compute for autonomy, sensor fusion and onboard decisioning in aerial platforms and unmanned vehicles.
India-first consumer and small-commercial platforms that help validate the SIA stack in production-style embedded environments.
Roadmap
TeqSil’s roadmap remains focused on controlled execution: lock the stack, validate the product lines, tape out silicon, then scale availability.
Company incorporated and SIA architecture programme formalised.
AI compute blocks and core product envelopes progress through design validation.
First SIA processor tape-out currently planned.
India availability targeted first, followed by global rollout.
Original architecture, branded silicon and reference systems developed under one roof.
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