Carbon compliance advisory
CCTS compliance and GHG accounting, done right.
Karbon Kosh helps Indian industry meet carbon targets under the Carbon Credit Trading Scheme — monitoring plans, MRV systems, verification readiness and reduction strategy. Starting with textiles.
Simplifying India's carbon market.
Emission intensity
Illustrative- 1Meter→
- 2Data→
- 3Report→
- 4Verified
Why this matters now
~490
obligated entities with binding targets under CCTS
FY 2023-24
is the baseline year for those targets
No filing
means you are treated as if you improved nothing
2×
the average certificate price is the compensation on a shortfall
Source: Indian Carbon Market portal
Services
From the first gap assessment to the annual verification cycle.
Industries
Textiles is our lead sector. We also support the other CCTS sectors.
Cement
We also support
Aluminium
We also support
Pulp & paper
We also support
Chlor-alkali
We also support
Refineries
We also support
Petrochemicals
We also support
Iron & steel
We also support
Fertiliser
We also support
How we work
Diagnose
2–3 weeks
Gap assessment and exposure estimate
Build the MRV system
4–8 weeks
Inventory, monitoring plan and MRV systems
Get verification-ready
Annually
Internal review, evidence file and verifier support
Reduce and plan
Ongoing
Action plan and credit strategy
Why Karbon Kosh
Sector depth
We start with textiles, so we talk about ring frames, humidification plants and boilers, not generic industry.
Rule-level precision
Every rule we cite is linked to the official document.
Independent of verification
We advise. Accredited verifiers (ACVAs) verify.
Practical and plain-spoken
We work on site with your energy manager, and explain things in plain English.
Our GHG & MRV expertise
We show how we calculate, sample, check and document, not just what we offer.
- Gate-to-gate boundary: direct combustion, process emissions, purchased electricity and heat
- Default (Type I) and site-specific (Type II) emission factors
- What counts as renewable electricity under CCTS, and why RECs alone do not
- How production is normalised, and why errors there move the number most