Semiconductors & electronics
Design, materials, tooling, systems
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Sector guide · Guide 6 of 10
Deep Tech
Hard tech, deep science, semiconductors, robotics, space, patient capital, milestone maps, and India-specific paths to proof.
191matching funds
Open in directory01, Context
What this sector means
Deep tech investors underwrite science and engineering risk: semiconductors, robotics, space, advanced materials, climate hardware, and research-heavy software where the hard part is physics, silicon, or novel systems, not only growth marketing.
Cheque sizes and timelines often differ from classic SaaS. Many Indian deep-tech paths combine venture with incubators, government programs, corporate pilots, and strategic partners. Diligence is evidence-heavy: IP position, technical milestones, manufacturing or deployment path, and the first commercial beachhead.
Founders should lead with the technical wedge and the first customer path. Show why India is an advantage (talent, cost, testbeds, demand) and what milestone this round funds. Vague “platform for everything” deep tech rarely works; a beachhead with a buyer who feels the pain does.
Deep tech investors underwrite science and engineering risk: semiconductors, robotics, space, advanced materials, climate hardware, and research-heavy software where the hard part is physics, silicon, or novel systems, not only growth marketing.
02, At a glance
Sector snapshot
How this category usually shows up for Indian founders raising capital.
Typical cheque
Milestone-based; often longer runwayPrimary buyer
Enterprises, gov, defense, industrialsDiligence focus
IP, milestones, manufacturability, beachheadIndia edge
Talent, cost, testbeds, policy programsCapital types
Deep-tech VCs, CVCs, grants, strategics03, Map
Landscape map
Pick the sub-sector narrative before you shortlist funds.
Robotics & autonomy
Industrial, warehouse, specialty robots
Space & dual-use
Launch-adjacent, sats, sensing
Advanced materials / chem
Lab-to-plant stories
Scientific software / bio tools
Hard R&D with product packaging
04, Scoreboard
Metrics that matter
Bring the ones that match your model.
Technical milestone hit rate
Execution against physics risk
Prototype → pilot conversion
Commercial reality
Gross margin path
Hardware/software mix honesty
IP strength
Freedom to operate + defensibility
Cost per unit trajectory
Manufacturing learning curve
Strategic partner depth
De-risk distribution
05, Weights
How investors weigh diligence
Relative emphasis in partner conversations, directional, not a formula.
Technical feasibilityPhysics, IP, residual risk
95
Milestone planWhat this capital buys
90
First beachhead customerWho pays for v1
82
Manufacturing / ops pathScale beyond the lab
78
Team depthScience + product + ops mix
75
06, Fit
Who it fits
- Hard-tech teams with prototypes or lab validation
- Founders who can map capital to technical milestones
- Companies with a first commercial beachhead in sight
- Teams open to grants, CVCs, and strategic partnerships
Who should wait
- Slideware science without experimental evidence
- SaaS companies using “deep tech” as branding
- Founders unwilling to discuss residual technical risk
- Raise plans with no manufacturing or deployment path
07, Checklist
What investors look for
Use this before outreach, not after the first rejection.
- A crisp technical wedge and residual risk statement
- IP and freedom-to-operate awareness
- Milestone map tied to the raise size
- First customer or pilot path
- Why India is the right build/test market
- Team that has shipped hard things before
08, Pack
What to prepare
- Technical diligence memo + risk register
- IP summary and competitive technology map
- Prototype demos / test data package
- Manufacturing or deployment plan
- Capital stack: equity + grants + strategics
09, Playbook
Fundraising playbook
- Write residual risks explicitly, sophisticated investors respect it
- Raise for the next proof, not the full vision
- Blend venture with non-dilutive capital when it shortens proof
- Target deep-tech specialists before generalist growth funds
- Use corporate pilots as diligence accelerators
- Keep a SaaS-simple commercial narrative alongside the science
10, Watchouts
Common mistakes
01
Fundraising like a consumer app with science buried in appendix
02
No beachhead, only a 10-year TAM
03
Ignoring manufacturing cost and yield
04
Over-diluting before technical de-risking
05
Treating grants as strategy instead of bridge to proof
11, Capital map
Funds in this sector
Accelerator
100Unicorns
Be the 'Y Combinator of India', provide initial capital plus committed follow-on to idea-stage startups, supporting them across their first three funding rounds before connecting them to large VCs for growth capital.
$250K – $3MVenture Capital
100X VC
Invest in 100 companies per year at pre-product stage and help them reach their next milestone
$25K – $250KVenture Capital
2048 Ventures
2048 Ventures backs early-stage founders building transformative companies across AI, DeepTech, Climate, SaaS, and Consumer, with a long-horizon view on where the world is headed by 2048.
$500K – $2MContinue