Scaling D2C brands by creating scroll-stopping direct-response creatives | Get ads that lower your CAC and increase ROAS | If you're an E-commerce business spending Rs 1L/-3L/month on paid socials let's have a chat

I help brands scale revenue through high-converting content.For the past 3 years, I've been building content systems that turn production chaos into predictable growth.

HERE'S WHAT WE DO:

📹 FULL-STACK CONTENT PRODUCTION
We're your extended content team—handling everything from strategy to final delivery. UGC ads, organic content, explainer videos, podcasts, AI-powered ads. One team, zero bottlenecks.

Our process: Deep research → Strategic planning → Full production → Professional editing → Performance analysis → Iteration.

🎯 PERFORMANCE-FIRST APPROACH
We're not just creatives -we're performance marketers who create content. Every piece is built to convert, not just look pretty. 

We've helped D2C, fintech, and e-commerce brands scale by treating content like paid campaigns: hypothesis-driven, data-backed, ROI-focused.

BY THE NUMBERS:

- $10M+ in revenue driven via content
- 3000+ videos produced
- 40%+ creative win rate (2x industry average)
- 200+ creator network
- 100+ brands scaled

WHO WE WORK WITH:
Brands who are serious about scaling with content. D2C, fintech, e-commerce, SaaS.

If you're tired of piecing together content from 5 different vendors and want a reliable team that delivers - let's talk :)

Sanskar Saxena

Building Neurowire: intelligent behavior enablement layer for companies to overcome team friction, middle manager crisis, and forgetting curve issue. 

Supported by Innovate UK, we are on a mission to align teams around shared goals, and priority behaviours, with every penny spent on 'learning' reflected in 'doing'. 

Inbox is open for synergies. Let’s connect. ☕️

Ramisha Mujahid

The more I use AI tools, the more I am convinced: we don't need more information, we need better judgment.

AI is a pattern matcher, not a reasoning engine.

To use it effectively, we need people who are creative, critical, and visionary. These are behaviors developed through practice and feedback, not just consumption.

This is why I'm building Neurowire.

We aren't building another micro-learning tool.

We are building a nudge engine that prompts the practice of essential human skills.

Closing the knowing-doing gap and saving millions companies loose on what people know vs. what they practice. 

Because we are pressure-testing our assumptions with behavioral experts, it is taking longer to get pilots running than I’d like. 

But each day reaffirms that this is the tool we will all need as the "Agentic Era" scales.

Do you think 'human judgment' can be taught through #traditionallearning, or is constant #practice the only way to keep up with AI?

Ramisha   Mujahid 

Co-founder @Neurowire; Helping Modern Teams Achieve Better Outcomes by Practicing Desirable Behaviours

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AI can out-process any team. But it can't out-think one. 

How do you ensure your people stay on the right side of that line?

As of 2026, the consensus from the World Economic Forum is clear: technical fluency is no longer the differentiator. 

The exclusive "Human Moat" consists of six core skills:

Critical thinking, emotional intelligence, ethical judgment, adaptability, resilience, and strategic communication.

The problem? You can’t “attend” your way into these capabilities.

If you think you can train curiosity or resilience the same way you train Excel formulas, you’re already off track. 

These aren't knowledge gaps, they are behavioral patterns under pressure.

Information is cheap. Execution is the new premium.

This is why we are building @Neurowire.

We aren't building a library of content or another "AI Coach." 

We are building a nudge engine designed for neural re-wiring, 

To help your people iterate their way into intelligence through deliberate, structured practice.

In an era of "AI FOMO" and layoff curves, we use AI to help humans become smarter, faster, and essential.

Would love to hear if you think human judgment can be taught in a classroom, or is reinforcing practice the only way to survive the AI era?

I was skeptical.

Every few weeks, our product description evolves.

Each time I sit down to answer questions on the target market, buyer persona, or distribution channels,

They seem different than what we'd initially expected. 

Well, it all made sense when, at a recent event, Momchil (former Converge challenge winner) said: 

"If your answers are the same after a few months, you aren't progressing.""

That resonated.

We have been running low-cost, small-scale experiments since the inception of Neurowire, which has significantly shaped our idea and business model. 

As a founder (and an AuDHD person), an inner voice keeps pushing me to stress-test every move we make.

And it's these shared experiences and reflections from other builders that keep you grounded and moving forward. Kudos to Strathclyde Inspire for building such a supportive ecosystem. 

To the founders out there: keep going forward!

The first step towards treating women as equals: 

Stop forcing the notions and choices (designed with a mens-first lens) on them. 

Let them shape their own destiny and,

Be the critical thinkers and decision makers the society so direly needs today. 

Happy International Women Day 2026!

Are the top 1% of tech companies purposely inducing AI FOMO?

Last week, Microsoft CEO's claim that "most white-collar work will be fully automated within 12 to 18 months" remained center of attention.

Strangely, few questioned the logistics: 

👉🏼Reports contradicting the '90% of all code within next 3-6 months will be generated by AI', even leading tech giants only generate 25-30% of their code with AI. 

👉🏼Klarna hiring back human workers for its customer support teams after AI led to lower customer satisfaction.

👉🏼Outside the top 10 countries, the AI adoption rate drops as low as 14.1%. Even the average rate in the Global North sits at roughly 24.7%.

👉🏼Above all, we lack fully satisfactory answers regarding data security and ethics, esp. as news emerges of recent military applications of some models.

Let's get it clear: currently, FOMO itself is the biggest driver for AI adoption rather than profitability.

Don’t get me wrong. I am all about building AI use cases. 

However, I want to reinforce two critical points:

1. We must stop market FOMO from inciting panic within the business community.

2. We must challenge the ethics and motivations of AI’s most powerful stakeholders before 'AI capture' becomes an inevitability.

Would love to hear from others in the AI space, is the 18-month AI-will-do-it-all timeline a reality or a marketing gimmick?

2026 is a wake-up call.

A mental model ‘Ladder of Inference’ describes how we unconsciously move from raw data to assumptions and, often flawed actions.

Right now, the raw data is devastating.

We are seeing the world plunged into another 'war of choice,' with zero consideration for the economic and social fallout borne by billions. 

Might is becoming right, and the global social contract is fraying.

This raises a serious concern for us as individuals. 

When the world is in chaos, our "data selection" becomes skewed by fear and rhetoric.

To navigate this, we must consume and analyze information unbiasedly, questioning which data we are selecting and why.

And most importantly: 

#AdaptOurActions. 

We must learn from the major events of 2026 to adapt our beliefs and ensure our future actions are rooted in values, rather than noise.

The responsibility to see clearly and act in accordance lies with each of us.

Justice sensitivity is not the only problem.

If you're neurodivergent, your innate ability to recognize patterns emerging across different sources of data also contributes to the torpedoing of emotional unrest.

You CAN'T simply overlook the connection between an AI military startup funded by the same tech billionaires who are leading the 'Renaissance' in Silicon Valley,

At the very same time when soldiers are turning in complaints about being told of finding Armageddon through a bloody war.

You can't simply ignore the connection between the 300 million pages of Epstein files unveiling pedophiles, the deaths of 70,000+ children in Gaza, and a war engulfing an entire region.

Justice sensitivity, paired with systems thinking and a determination to stand for what's right, is why some of us are not doing okay at the moment.

The world will eventually return to a 'new normal.' 

I hope the dust settles soon.

Using a photo below originally shared by Leanne Maskell in her recent post.

If a Gen Z high-performer walks out,

If sick days quietly rise each quarter,

If managers escalate decisions they should own,

You don’t have a strategy issue. You have an execution gap.

Hybrid friction.
Generational misfires.
Neurodiverse talent under-leveraged.

Research consistently shows teams that practice structured reflection and deliberate communication outperform reactive ones.

Yet most SMEs rely on one-off training or hope.

@Neurowire builds practice into the workflow.

AI-driven prompts.
Anchored to live projects.
Five-minute activation loops.

Critical thinking becomes a step. Not a personality trait.

Strategic communication becomes shared structure. Not individual talent.

Repeated weekly.
Reinforced in real decisions.

Execution stops drifting.

Wire the practice.
Watch performance move.

Is AI the "New Scapegoat" for Bad Management?

Jack Dorsey just announced that Block is cutting 4,000 jobs nearly half its workforce to become "intelligence-native." 

The market’s response? A 25% stock jump.

But strangely, not many of us are looking past the "AI magic" narrative.

Between 2019 and 2025, Block’s headcount nearly #tripled. 

Now, like many in Big Tech, they are trimming the pandemic-era bloat. Blaming AI sounds like a "forward-thinking strategy" to investors, but as Sam Altman recently pointed out, 

It's often just "AI Washing" masking routine cost-cutting with a tech-heavy excuse.

We saw this with Klarna: they cut 40% of their support staff for AI, only to realize that over-optimizing for cost can destroy customer experience.

The Lesson: AI is a powerful tool, but using it as a shield for restructuring is a short-term game. 

For the outsourcing industry, the real threat isn't just "AI replacing humans" it's companies losing their "human-centric" value in a race for margin.

What's your take: are we witnessing a genuine tech revolution, or are we just watching a massive corporate "clean-up" disguised as innovation?

taplio

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Sanskar Saxena

Ramisha Mujahid

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taplio

The Battle

Sanskar Saxena

Ramisha Mujahid

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ramisha Mujahid's LinkedIn Performance

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