Most AI consultancies are founded by ex-consultants who sell strategy, or ex-academics who sell research. Adorbis was founded by a builder — someone with decades of market experience watching real money meet imperfect information, and years of shipping production software for paying clients. That combination shapes what Adorbis is, what it builds, and what it refuses to build.
The Founder
Based in Hyderabad, India.
Adorbis Technology Pvt Ltd — since 2019.
Adorbis LLC (Sheridan, Wyoming) — US entity.
The founder started Adorbis in 2019 after more than two decades across equities and commodities markets — Indian and global exchanges, every market condition from bull runs to crashes and back. That background shapes everything Adorbis does today: respect for failure modes, comfort with probabilistic systems, pattern recognition across sectors, and a trader's intolerance for activity that doesn't produce outcomes.
Adorbis's trajectory — from web and eCommerce development through workflow automation into private LLM infrastructure and fine-tuned model deployment — has been driven by what clients actually needed next, not by a pivot deck or a market trend.
When you work with Adorbis, the founder is personally involved in every client engagement. Same person who writes the proposals also reviews the pull requests, joins the reference calls, and signs the handover documentation.
What the market background gives Adorbis
- Respect for real-world failure modes. Markets punish sloppy thinking immediately and expensively. Software that makes high-stakes decisions deserves the same discipline. Every system Adorbis ships has hard failure modes, tested recovery paths, and conservative defaults.
- Comfort with probabilistic systems. Language models are probabilistic. So are markets. Teams that have spent their careers with deterministic software often flinch at "the model might hallucinate." Adorbis doesn't — we build around it.
- Pattern recognition across industries. Traders who spend careers reading market data see every sector's patterns — banks, pharma, logistics, retail, manufacturing. That breadth means we don't learn an industry from scratch. We recognize the shapes of the problems.
- Ruthless prioritization. In markets, you don't get credit for activity — you get credit for P&L. Adorbis carries that philosophy into software: every line of code, every agent, every workflow has to earn its place by solving something a human would otherwise do manually.
Technical practice
Beyond running the firm, the founder personally builds. Current work spans multi-agent trading systems for Indian equities and commodities, self-hosted Ollama infrastructure for client AI inference, custom Chrome extensions, and integrations across n8n, Wix Velo, Solana smart contracts, and Firebase Cloud Functions. The work is hands-on, not supervisory.
What we won't claim
There are no ex-Google, ex-OpenAI, ex-Meta alumni pedigrees here to wave around. No TED talks. No published academic papers. What we have is six years of shipping production systems for paying clients under NDA — and a specific blend of market-hardened intuition and hands-on engineering that our clients tell us is rare in this space.
If you want a consultancy with big-tech alumni and a media profile, there are firms that specialize in that. If you want a partner who will read your actual data, write actual code, and hand you a working system — that's what we do.
Join the Adorbis community
We run a Discord community for founders, engineers, and operators thinking about AI deployment in their businesses. No sales pitches, no lead capture forms — just technical conversation about how to do AI well. Verified membership via mutual referral.
Connect directly
The founder's LinkedIn profile has the complete career history, education, and current role details. For anything beyond that — questions about a specific engagement, a technical architecture discussion, a reference conversation — email info@adorbistech.com. First-touch replies on serious inquiries come from the founder directly.