About TAP

Your AI Implementation Partner

95% of AI pilots fail. We exist to make sure yours doesn't. We're an India-based AI implementation company — not a research lab, not a slide deck factory. We're the execution partner that ships production systems with measured results.

Our Mission

“We help teams turn repetitive operations into AI-assisted systems that save time, reduce manual effort, and improve quality — with measured results, not promises.”

Why We Exist

Built for Execution

The AI implementation market has a problem: two-thirds of AI tool purchases go unused. Companies buy GPT subscriptions, hire consultants who deliver PowerPoints, and end up with shelfware instead of systems.

TAP was founded to be the opposite. We operate as an LLP — lean, focused, and structured for the kind of hands-on implementation work that larger firms over-scope and under-deliver. Every engagement starts with one real workflow and ends with a production system your team actually uses, with numbers your leadership can act on.

We're not competing with research labs or building AI products. We're the team you call when you know AI can help your operations but need a partner who can make it happen — quickly, reliably, and within budget.

Company Type

Limited Liability Partnership (LLP)

Headquarters

India

AI Platforms Supported

11+ (OpenAI, Anthropic, Gemini, Llama, Mistral, DeepSeek, Qwen, MiniMax, Kimi, Cohere, OpenClaw)

Engagement Model

Pilot-first, outcome-measured, no long-term contracts to start

What Sets Us Apart

Our Differentiators

01

Execution Over Demos

67% of internal AI builds fail. Every TAP engagement ships a production system with measured results — not a proof-of-concept that never leaves the lab.

02

Vendor Neutral

We select from 11+ AI platforms based on your workflow requirements — accuracy, cost, latency, data residency. No lock-in, no affiliate incentives, no "one model fits all."

03

Pilot First

Start with a 4-week pilot on one real workflow. See measured results before committing to a larger engagement. 74% of AI deployments achieve ROI within 12 months when implemented correctly.

04

Human in the Loop

80% of AI failures are people problems, not technical ones. Every system we build includes review checkpoints, approval gates, and quality monitoring — AI handles the volume, humans handle the judgment.

Global Delivery

Why India

Our India base isn't just about cost — it's a strategic advantage for AI implementation delivery.

1

Cost-Effective Delivery

World-class AI engineering at a fraction of US or European rates. You get more implementation hours per dollar — which means faster time-to-value on every engagement.

2

Deep Technical Talent

India produces more AI and ML engineers than almost any other country. Our team combines strong fundamentals with hands-on production experience across multiple model ecosystems.

3

Global Time Zone Coverage

IST provides natural overlap with both European and US business hours. We adapt our working schedule to your team's rhythm — no communication delays.

Vendor Neutral

11+ AI Platforms. Zero Lock-In.

We select the right model for your specific workflow — not the one that pays us the biggest referral fee. Here's what we work with and when we recommend each.

OpenAI

GPT-4.1o3o4-mini

General reasoning, multimodal understanding, function calling

Best for: Versatile workflows needing broad capability and mature tooling

Anthropic

Claude Opus 4.6Claude Sonnet 4.6Claude Haiku 4.5

Long-context work, policy-sensitive tasks, structured reasoning

Best for: Document-heavy workflows, compliance, and agentic execution

Google Gemini

Gemini 2.5 ProGemini 3.1 Pro

Deep Workspace integration, no-code agent building

Best for: Google Workspace-native orgs, cross-platform data analysis

Meta Llama

Llama 4 Scout (10M ctx)Llama 4 Maverick

Open-weight, massive context window, multimodal

Best for: Self-hosted deployments, document analysis at scale, cost-sensitive workloads

Mistral

Large 3Medium 3Ministral

European sovereignty, multilingual, edge deployment

Best for: GDPR-sensitive workflows, edge AI, multilingual operations

DeepSeek

DeepSeek-V3.2DeepSeek-R1

Enterprise-grade reasoning at 10-30x lower cost

Best for: Cost-sensitive deployments that need high quality, analytics, and code generation

Qwen (Alibaba)

Qwen3.5Qwen3 Max

200+ languages, visual agentic capabilities

Best for: Multilingual enterprises, autonomous task execution, global operations

MiniMax

M2.5MiniMax-Text-01 (4M ctx)

Full multimodal (text, video, audio), ultra-long context

Best for: Document processing at scale, content creation, high-volume low-cost deployments

Kimi (Moonshot)

Kimi K2.5 (1T MoE)

Agent Swarm (100 agents, 1,500 parallel steps), vision-grounded coding

Best for: Complex multi-step business workflows requiring scaled agent execution

Cohere

Command A ReasoningEmbedRerank

Enterprise RAG pipeline, on-premises deployment

Best for: Regulated industries (finance, healthcare) requiring full data sovereignty

OpenClaw

Agent Framework (MIT License)

LLM-agnostic autonomous agent execution, 100+ preconfigured skills

Best for: Local-first agentic workflows, email triage, onboarding automation, DevOps

Our Team

The People Behind TAP

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Co-Founder & CEO

Coming Soon

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Co-Founder & CTO

Coming Soon

Ready to Work Together?

Book a free 30-minute consultation. We'll identify your top automation opportunities and recommend the right starting point — no commitment, no pitch deck.