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Obviously Ai

San Francisco, US · Founded 2018 · Delaware corporation · 17 employees on LinkedIn · 6 known investors

Find your way into Obviously Ai

181 people in our graph share verified history with the Obviously Ai team — schools, employers, funds. One of them is your warm intro.

Obviously AI provides a no-code platform that enables users to build predictive machine learning models from raw data in minutes without requiring coding knowledge. The platform serves business teams, analysts, and organizations across industries needing rapid model deployment for use cases like churn prediction, lead conversion forecasting, and fraud detection.

Also known as Obviously AI · Obviously AI, Inc. · Zams

Founders & leadership

Obviously Ai was founded in 2018 by Nirman Pratikbhai Dave, Tapojit Debnath Tapu, and Tapojit (Tapu) Debnath.

NP
Nirman Pratikbhai DaveCo-founder
TD
Tapojit Debnath TapuCo-founder
T(Tapojit (Tapu) Debnath
Tapojit (Tapu) DebnathinCo-Founder, CTO2020–2025Tapojit Debnath is founder of Obviously AI, a no-code platform for building predictive machine learning models. He previously led AI agent development at Zams.

Board

KM
Kiran Mysore RaviBoard director

Investors · 6

Reported raises · per SEC filings

Form D private placements

$5.1M disclosed across 1 round · 2023

$5.1MraisedNov 2023 · 10 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Kiran Mysore RaviDirector
  • Nirman Pratikbhai DaveExecutive Officer, Director, Promoter
  • Tapojit Debnath TapuExecutive Officer, Director
Offering amount
$5.1M
Amount sold
$5.1M
First sale
Oct 2023
Incorporated
Corporation, Delaware, 2018
Federal exemptions
06b
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Obviously AI, Inc. develops a no-code artificial intelligence platform that lets users move from raw datasets to predictive models without writing code. The product supports three model families: classification (for example churn, lead conversion, loan repayment and fraud prediction), regression (sales, dynamic pricing, yield, deal size and cost prediction) and time series forecasting (such as sales in a future period or next-day price levels).

The platform spans the model lifecycle. Model building is designed around a few-click workflow; deployment produces instant web apps that can be shared as a dynamic link for real-time use; monitoring is automated and can be chained to conditional automations through Zapier (for example triggering an action when a prediction probability exceeds a threshold); and real-time REST APIs allow predictions to be embedded in customer applications or piped into business intelligence tools such as Power BI and Looker. The company also bundles human support, offering 24x7 access to a dedicated data scientist for data merging, enrichment, cleaning and other statistical work. Ancillary resources include a help center, API documentation, a status page and published material on data requisites, algorithms and security.

As of 2025 the obviously.ai website is presented as an archive, with a notice that the company is now operating under the name Zams.

Business model

The company sells software rather than services, packaging automated model building, deployment, monitoring and API access into a self-serve product, supplemented by access to dedicated data scientists as part of the offering. A free entry point ("Try for free" / "Get Started") and a demo are used to onboard users.

Traction

The company states its platform has saved users 200,000 hours per month that would otherwise be spent waiting on data science teams or learning to code. Named customer testimonials cite outcomes including savings of more than $70,000 per year, weekly profit increases of 4-5% from real-time price prediction, and yield prediction used in a data-driven sales process.

Latest developments

The obviously.ai site is maintained as an archive of the product through 2025 and states that Obviously AI is now Zams, pointing visitors to the Zams website.

Full profile — market position, technology, go-to-market

Market position

Positioning centers on speed and accessibility: the company contrasts an estimated two months to build an algorithm in-house with about one day using its platform, and cites customer accounts of model build times falling from two weeks to five minutes. No data science team, AI background or programming knowledge is required, and expert data-scientist support is included alongside the software.

Technology

A no-code AI system that ingests tabular datasets (marketed for sizes ranging from roughly 1,000 to 50 million rows and 5 to 200 columns) and automatically builds classification, regression and time-series models. Deployment is one-click and generates instant web apps; integration is via real-time REST APIs, with Zapier-based automation and connectors to BI tools such as Power BI and Looker for prediction data.

Go-to-market

Self-serve product-led acquisition through a free trial and on-demand demo on the website, supported by customer testimonials, press mentions and educational resources such as the help center and API documentation.

Business users, analysts and teams without data science staff, AI backgrounds or programming knowledge. Testimonials reference users at learning, agriculture/sales, trading, printing, analytics, credit and agency organizations, including Learning Leaders, Sound AG, Max Van Trading, Dai Nippon Printing, Creditt India, Sesame Analytics, Gerstmann Agency, Makerpad and NEOS.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Time saved for users (company claim)Jan 2025200,000 hours per month

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 6

by search overlap
Deepchecks17 shared keywordsDeepchecks offers an enterprise LLM evaluation platform that unifies testing, observability, and monitoring for AI systems in production. It lets AI teams compare prompt/model/agent versions, set up auto-scoring pipelines, create LLM judges and datasets, and integrate LLM app testing into CI/CD.
DataCamp16 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Kili Technology15 shared keywordsKili Technology provides a data-labeling and annotation platform that helps businesses produce high-quality training data for building AI models. Founded in 2018, it serves enterprises seeking to make data reliable for machine learning.
Sqream15 shared keywordsSQream builds a GPU-native SQL database platform designed to accelerate data analytics, machine learning training, and inference for enterprises processing large-scale datasets. The platform serves financial services, telecom, pharma, and manufacturing companies seeking to transform raw data into intelligence at scale.
Applause14 shared keywordsApplause provides fully managed software testing services that combine a global community of over 1.5 million testers with AI and automation to validate web, mobile, and AI-powered applications. It serves enterprises across areas including functional testing, payments, accessibility, localization, UX research, and AI evaluation.
Encord13 shared keywordsEncord provides a data platform for developing and deploying multimodal AI systems, serving AI development teams at scale across training and production environments.

Companies competing with Obviously Ai for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 1

launches, deals, and filings
Jan 2025
Obviously AI rebrands to Zams; obviously.ai becomes an archive

The obviously.ai website was converted to an archive of the product as it operated through 2025, with a notice stating that Obviously AI is now Zams and linking to the Zams site.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
Obviously AiDelaware

Research sources · 1

primary sources listed

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Obviously Ai do?
Obviously AI, now operating as Zams, offers a no-code platform for building and deploying predictive AI models.
Who founded Obviously Ai?
Obviously Ai was founded by Nirman Pratikbhai Dave, Tapojit Debnath Tapu, Tapojit (Tapu) Debnath in 2018.
Who are Obviously Ai's investors?
Obviously Ai's investors include Arka Venture Labs, Draft Ventures Llc, Foothill Ventures, Golden Gate Ventures, UTEC, iSeed.
How much funding has Obviously Ai raised?
Obviously Ai has disclosed $5.1M raised across 1 round.
Where is Obviously Ai headquartered?
Obviously Ai is headquartered in San Francisco, US.