offshore.dev

Tequity

IN Website 11-50 employees
$25 - $49/hr
5.0

1 reviews

External Reviews

Technologies

LlamaMistralFalconReact NativeRAG (Retrieval-Augmented Generation)LLMsComputer VisionVoice AIOpen-weight models

Services

AI DevelopmentAgentic AI SystemsVoice AI ImplementationsRAG Framework ImplementationsComputer VisionModel Fine-TuningAI/ML Data Pipeline ManagementFull-Stack DevelopmentUI/UX DesignProduct Strategy & ResearchAgentic Experience DesignPrototyping & ValidationDesign SystemsMobile Design (iOS/Android)Accessibility & Inclusive Design

Notable Clients

ChargeZoneAlto NeuroscienceMonkSpaces AITerraFlow

Tequity is an applied AI company based in Bangalore, India, founded in 2020 by Ajay Kumar, Rahul Nair, and Balaji V. The team has grown to over 100 people across product management, design, engineering, and QA, with offices in Bangalore (headquarters), Mumbai (design centre), and Jodhpur (technology centre). The company works with startups and enterprises to build AI products from concept through product-market fit, claiming 50+ AI systems shipped since ChatGPT's launch and 25+ active clients. According to founder testimonials, typical turnaround for critical bug fixes is one day, seven days for new features, and six weeks for complete MVPs.

Services and capabilities

Tequity's core offering spans AI development, full-stack development, and product design. On the AI side, the company builds agentic AI systems, voice AI implementations, retrieval-augmented generation (RAG) frameworks, computer vision systems, and open-weight model implementations (Llama, Mistral, Falcon). They handle AI/ML data pipeline management and model fine-tuning. The company also emphasizes "agentic experience (AX) design"—user interfaces for autonomous systems that balance automation with human control.

Design services include UI/UX for web, mobile, and desktop; product strategy and user research; prototyping and validation; design systems; dashboards and data visualization; mobile-first design for iOS and Android; and WCAG-compliant accessibility. Full-stack development rounds out the offering, though specifics on that service are limited in the source material.

Tequity structures engagements around three product stages: Build Your MVP (4-week production-ready MVPs for founders validating AI ideas), Iterate to PMF (dedicated teams for startups with early traction adding features and optimizing), and Scale Your Team (contract engineers, designers, and PMs embedding as in-house hires for companies at product-market fit).

Notable work

Named clients in case studies include ChargeZone (India's fastest-growing EV charging network, built a scalable multi-tenant cloud platform), Alto Neuroscience (California-based clinical-stage biopharma, transformed EEG workflows with design and accessible information), and MonkSpaces AI (Singapore-based real estate SaaS, AI-powered property management). Additional case study titles reference PCOS care, contract management with AI extraction, sports nutrition e-commerce, and property valuation platforms, though detailed outcomes are not in the source.

A testimonial from Dan Freeman (Founder & CTO at TerraFlow) states the partnership allowed them to build a professional product while staying lean, recommending Tequity for startups from angel through Series B and beyond. Rupesh Singh from MonkSpaces AI noted responsiveness and ability to deliver on time.

How they work

Tequity operates as a remote-first, US timezone-overlapping team, claiming direct work with clients across North America, Europe, and Asia. Engagement model varies by stage: founder-speed iteration for early-stage, dedicated teams for mid-stage scaling, and contract-based augmentation for mature companies. Average engagement length exceeds 2.5 years. Pricing positioning is "US-quality at 30–40% the cost." The company notes zero management overhead and senior talent availability.

Team and credentials

Founders include Ajay Kumar (serial entrepreneur, NIT-Surat alum), Rahul Nair (AI/ML engineer focused on document intelligence and object detection), Balaji V (entrepreneur with stakes in multiple startups), Ishiyetaa Sani (Head of Design, founded Beyond Design in 2020, Srishti and Glasgow School of Art alum), and Deepak Bhagya (Head of Delivery, founded WebSoham in 2014). In 2023, Tequity merged with Beyond Design and WebSoham to consolidate product, design, and engineering. The team now exceeds 100 people. The company claims a 4.9/5 rating from 500+ clients but provides no third-party verification source (no Clutch, G2, or similar platform citation in source material).

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Case Studies

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Client Reviews

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5.0

1 third-party reviews

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Frequently Asked Questions

What does Tequity specialize in?
Tequity builds AI products from concept to product-market fit. Core offerings include agentic AI systems, voice AI, retrieval-augmented generation (RAG), computer vision, and open-weight model implementations. The company also provides full-stack development, product design, and user research across web, mobile, and desktop platforms.
Where is Tequity based and how large is the team?
Headquarters in Bangalore, India, with design centre in Mumbai and technology centre in Jodhpur. The team exceeds 100 people across product management, design, engineering, and QA. Operates remote-first with US timezone overlap.
What engagement models does Tequity offer?
Three primary models: Build Your MVP (4-week production-ready MVPs), Iterate to PMF (dedicated teams for startups with early traction), and Scale Your Team (contract engineers, designers, and PMs embedding as in-house hires). Average engagement length exceeds 2.5 years.
What is Tequity's typical turnaround for deliverables?
According to founder testimonials, critical bug fixes take one day, new features take seven days, and complete MVPs take six weeks. The company positions this as founder-speed delivery with no bureaucracy.
Who are some of Tequity's clients?
Named clients include ChargeZone (EV charging network), Alto Neuroscience (clinical-stage biopharma), MonkSpaces AI (real estate SaaS), and TerraFlow. The company claims 50+ active clients and 1M+ active users on products it has built.
How much AI experience does Tequity have?
Tequity has shipped 50+ production AI systems since ChatGPT launched in late 2023. The company employs core ML engineers and has built systems ranging from agentic workflows to voice AI to computer vision across startups and enterprise clients.

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