Drishti specifies, develops and operates software and AI systems for organisations in sustainability, real estate, insurance and culture. Each system is built around the process through which the business creates its value, and is overseen by the person who specified it, from the first day through daily use.
Drishti (दृष्टि) is a Sanskrit word for a focused gaze. In yoga it is the fixed point on which the eyes rest, so that the body keeps its balance and the mind its clarity while in motion.
It is also how we work. We choose our clients and projects with care and take on a limited number at any time, so that each receives our full attention. The fields we work in differ; the principle does not: to identify the process through which a business creates its value, and to build the technology around it.
We accept a limited number of projects and commit to each of them for the long term.
Specification, development and decisions rest with one person, with no layers in between.
Each system is built around the process that produces the organisation's revenue, service or regulatory standing.
Every engagement ends with a working system that the team uses in its daily work.
A numbered specification that defines the processes, screens, data and rules, approved by the client before development begins.
A browser-based system in Hebrew, English or Portuguese, working on desktop and mobile and shaped to the organisation's processes.
Automatic reading of documents, invoices and certificates, converted into structured data that a person reviews and approves.
Data drawn from Excel, bank files and existing systems, so that every figure is entered only once.
Hosting, backups and monitoring, with a feedback channel inside the system that reaches the development team directly.
Experience in environmental engineering, climate investment and regulatory compliance, translated into the rules built into the system.
Client names are kept confidential. Point to a project, or tap it, to read about it.
Greenhouse gas accounting for companies and the consultants who serve them, with reporting to ISO 14064, CDP and ESRS and modules for CBAM, energy and waste.
Python and FastAPI, PostgreSQL, Next.js; AI that reads invoices and files into the emissions ledger.
A company reports its emissions and meets CBAM requirements from one system, in which every line has been reviewed and approved by a person.
Management of carbon credit projects: schedule, tasks, evidence and documents, with monitoring, reporting and verification for each project.
Next.js and TypeScript, PostgreSQL; calculation runs that are locked once recorded.
All the evidence, calculations and the verification file of a credit project are held in one place, and estimated reductions are kept apart from verified credits.
Management of urban renewal projects for developers: deals and feasibility, tenants and consents, permits, budget against actual, approvals and documents.
Python and FastAPI, PostgreSQL, Next.js; AI that reads incoming documents.
The developer sees every deal and project in one picture: the state of consents, permits and budget against execution.
Production of the monthly construction monitoring reports that banks require, from the project's bank statements, approved budget and sales.
Python and FastAPI, PostgreSQL, Next.js; bank statement reading with AI vision; reports generated in Word and PDF.
The appraisal office replaces manual spreadsheet work with a controlled monthly report, consistent from one month to the next.
Handover and after-sale service for a residential developer: inspections with buyers, deed scheduling, service tickets, and portals for buyers and contractors.
Python and FastAPI, PostgreSQL, React; Portuguese and English interfaces.
Handover and service move from spreadsheets and chat groups into one system, with a defined response time for every ticket.
A private ledger for a real estate investor: holdings, cash and tax, with new investment opportunities reviewed in one place.
Next.js, PostgreSQL; AI that reads source documents into proposals a person approves.
The investor sees the position of every investment, and every figure rests on the page of the source document it came from.
Review of insurance certificates against contract requirements, and a library of 94 policy wordings from seven insurers, compared clause by clause.
Next.js, Fastify, PostgreSQL; OCR for scanned certificates.
The advisory office checks certificates and compares policies through one structured process, and identifies coverage gaps before they become a risk.
A platform on which performers and speakers announce tours and Jewish communities around the world join them, with booking and messaging.
Next.js, Python and FastAPI, PostgreSQL; a daily matching process between tours and communities.
Communities book artists from abroad at a shared cost, and artists build a full tour out of individual bookings.
Dr. Avi Luvchik holds a PhD in Physics from Imperial College London. He served as Environmental Engineer and Head of Sustainability at Intel in Israel, as VP of Business Development at Capital Nature, and as co-founder of Noah Capital, a climate technology venture fund.
Scientific method, industry experience and an investor's view of risk shape the way Drishti approaches every project: understand the process in depth first, and only then build the technology.
We would be glad to hear about the process you wish to move into a system. The first conversation is held with the founder.