Rezlytix

Cover Block

Field	Value
Name	Rezlytix (RezLytix Technologies Pvt. Ltd.)
Tagline	AI-powered super resolution technology for reservoir intelligence in energy exploration
Headquarters	Gurugram, Haryana, India (with a Bengaluru office)
Founded	2017
Stage	Seed
Business Model	B2B Enterprise SaaS / PaaS with services
Industry	Deeptech, Energy (Oil & Gas E&P)
Technology Type	AI / Machine Learning, Deep Learning, Super-resolution imaging
Geography	South Asia (India HQ)
Growth Profile	Venture Scale
Founding Team	Co-founders Dip Nanda and Bharath Shekar
Funding Label	Seed
Total Disclosed Funding	~$200,000

Links

• Website: https://www.rezlytix.com/
• LinkedIn: https://www.linkedin.com/company/rezlytixglobe

Summary and Signal

Rezlytix is an India-based deeptech company applying super-resolution AI to subsurface seismic and well data to help oil and gas operators identify reservoir features missed by conventional processing [Rezlytix website] [Tracxn, Jan 2026]. Founded in 2017 in Gurugram by Dip Nanda and Bharath Shekar, the company's core products include Enhance.AI for image enhancement, Prolytix for mature-field redevelopment analytics, and DIME, an AI engine that integrates well and seismic data [Rezlytix website] [LinkedIn] [Shell E4]. Disclosed funding stands at ~$200,000 [Energy Startups]. The company's selection into Shell's E4 program provides mentorship and access to seismic-data owners [Rezlytix Conference page]. The business model mixes licensable software with consulting services [LinkedIn]. Key milestones for the next 12 to 18 months include commercial conversion from the Shell E4 cohort, named operator case studies, and a priced funding round.

Data Accuracy: GREEN -- Confirmed by Rezlytix website, Tracxn, Energy Startups, LinkedIn, and IIT Bombay.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	B2B Enterprise SaaS / PaaS with services
Industry / Vertical	Energy (Oil & Gas Exploration & Production)
Technology Type	AI / Machine Learning, Super-resolution
Geography	South Asia (India)
Growth Profile	Venture Scale
Founding Team	Two co-founders (technical / academic)
Funding	~$200,000 disclosed seed

Company Overview

Rezlytix was founded in 2017 by Dip Nanda and Bharath Shekar to build machine learning and deep learning systems for reservoir intelligence [Rezlytix Company page] [18startup]. The legal entity is RezLytix Technologies Pvt. Ltd., with offices in Gurugram and Bengaluru [Rezlytix Contact page]. The company operates as a software and services firm, mixing product licensing with bespoke processing and interpretation work [Rezlytix Company page] [LinkedIn].

External milestones include admission into Shell's E4 startup program [Rezlytix Conference page] and a top-five energy startup placement at AVINYA'26 during India Energy Week 2026 [Rezlytix News page]. Disclosed funding is $200,000 [Energy Startups] [Inc42].

Data Accuracy: GREEN -- Confirmed by Rezlytix website, Tracxn, PitchBook, and Energy Startups.

The Product and the Stack

Rezlytix's product surface centers on three brand-named modules. Enhance.AI is positioned for structural and stratigraphic enhancement [Rezlytix Enhance.AI page]. Prolytix is a mature-field redevelopment tool for quantifying recoverable hydrocarbon volume [Rezlytix Prolytix page]. DIME is an AI engine that integrates well and seismic data to lift seismic resolution [LinkedIn].

The company also lists a broader product family including Storm, Strike, Wedge, Fault.AI, and Strat.AI [Rezlytix Solutions page]. Service offerings span imaging, data processing, interpretation, modelling, and consultancy [Rezlytix Solutions page]. The company builds machine learning and deep learning technologies [Rezlytix Company page].

Data Accuracy: YELLOW -- Product descriptions confirmed by Rezlytix website and LinkedIn; absence of named customers or benchmarks limits independent verification.

Market Research and Opportunity

Rezlytix targets the global E&P operator base across the exploration-to-divestment cycle [LinkedIn]. Demand drivers include the rise of brownfield economics, the maturing of deep learning techniques on seismic volumes, and the willingness of national oil companies to engage specialist software vendors. Substitute markets include in-house geoscience teams and established seismic processing suites sold by SLB, Halliburton's Landmark, and CGG.

Sizing claim	Value
Disclosed Rezlytix funding to date	~$200,000
Rezlytix institutional investor count	1
Shell E4 cohort membership	Yes

Data Accuracy: YELLOW -- Demand drivers framed from cited Rezlytix and event sources; no third-party TAM report is in the captured research.

The Competitive Field

Rezlytix competes in a consolidated software category where incumbents bundle interpretation tools into broader contracts. Dominant alternatives include platforms from SLB (Petrel, Omega), Halliburton Landmark (DecisionSpace, SeisSpace), and CGG (GeoSoftware, Jason). Rezlytix positions itself to sell into the seams of these workflows [Rezlytix Enhance.AI page] [Rezlytix Prolytix page]. Adjacent geoscience-AI vendors include ENRES International and Earth Science Analytics [Crunchbase].

Data Accuracy: YELLOW -- Incumbent landscape inferred from Rezlytix's stated positioning and standard industry knowledge; no head-to-head benchmark is publicly cited.

Opportunity

Rezlytix aims to become the default AI super-resolution layer for mid-sized operators and national oil companies. The technical problem is narrow enough for a specialist team, and the company has secured academic credibility and a supermajor sponsor [IIT Bombay] [Rezlytix Conference page].

Scenario	What happens	Catalyst	Why it's plausible
Shell-anchored land-and-expand	A named Shell-portfolio asset publishes a case study, leading to 3-5 paid engagements	A reference customer disclosure	Shell E4 membership is confirmed
India NOC standardization	ONGC, Oil India, or Reliance adopts Rezlytix	Top-five recognition at AVINYA'26 converts into a formal NOC procurement	Rezlytix's AVINYA'26 placement and Gurugram base
Acquisition by an incumbent	SLB, Halliburton Landmark, or CGG acquires Rezlytix	A competing AI feature in a rival platform forces an incumbent to buy	Incumbents have a history of acquiring specialist geoscience-AI vendors

Data Accuracy: YELLOW -- Scenarios anchored in confirmed Shell E4 membership, AVINYA'26 recognition, and Crunchbase peer mentions; financial outcomes are explicitly framed as scenarios, not forecasts.

Sources

1. [Rezlytix] Rezlytix | Enabling Reservoir Intelligence | https://www.rezlytix.com/
2. [Rezlytix] About Us | https://www.rezlytix.com/team
3. [Rezlytix] Conference (Shell E4 reference) | https://www.rezlytix.com/conference
4. [Rezlytix] Prolytix | Mature field redevelopment intelligence | https://www.rezlytix.com/prolytix
5. [Rezlytix] Our Products | https://rezlytix.com/products
6. [Rezlytix] Solutions | https://rezlytix.com/solution
7. [Rezlytix] Enhance.AI | Structural & Stratigraphic Enhancement | https://www.rezlytix.com/enhance-ai
8. [Rezlytix] Technology | https://www.rezlytix.com/technology
9. [Rezlytix] Company Background | https://www.rezlytix.com/company
10. [Rezlytix] News | https://www.rezlytix.com/news
11. [Rezlytix] Contact Us | https://www.rezlytix.com/contact
12. [18startup] RezLytiX Technologies | https://18startup.com/company/rezlytix-technologies
13. [Tracxn, Jan 2026] RezLytix - 2026 Company Profile, Team, Funding, Competitors & Financials | https://tracxn.com/d/companies/rezlytix/__z1AtmIlyW3ZmzVPrNvG0B0ZILGPMNx5r9VnMofjhreA
14. [Energy Startups] Rezlytix Technologies (India) Funding: $200K | https://www.energystartups.org/startup/rezlytix/
15. [LinkedIn] Rezlytix company page | https://www.linkedin.com/company/rezlytixglobe
16. [PitchBook, Jan 2026] RezLytix 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/328252-33
17. [Crunchbase] Rezlytix Company Profile & Funding | https://www.crunchbase.com/organization/rezlytix
18. [Crunchbase] Bharath Shekar - Co-Founder @ Rezlytix | https://www.crunchbase.com/person/bharath-shekar-a7e8
19. [Inc42] Rezlytix Total Funding & Investors | https://inc42.com/company/rezlytix/funding/
20. [IIT Bombay] Bharath Shekar academic profile | https://www.iitb.ac.in/