Capitol AI

Capitol is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions.

[Capitol AI @capitolai]

When the work gets high-stakes, intelligence isn’t the problem; maintaining clarity is.

Capitol turns enterprise data and expert judgment into governed systems that hold up. Data stays where it belongs. Access is defined upfront. Outputs are structured, traceable, and ready for use.

Built for production. Designed for trust.

Clarity on Command.

[Capitol AI @capitolai]

Organizations across financial services, professional services, media, and government are moving beyond AI experimentation and looking for systems that can operate inside real workflows with governance, auditability, and data sovereignty built in from the start.

Our founder and CEO, @ShaunModi sat down with @Mergermarket to share his perspective on the future of enterprise AI and what Capitol is building to support that shift.

Demand is growing for secure, multi-model infrastructure that helps institutions turn proprietary information into decision-grade intelligence.

We’re excited to continue expanding our footprint and impact across the US and UK as we support organizations operating in high-stakes environments.

Read the full profile here:
https://t.co/pDJVogzgPW

[Capitol AI @capitolai]

Grateful today as we honor and remember the brave.

[Capitol AI @capitolai]

“The biggest risk in AI right now isn’t the model. It’s the interface.”

In his latest piece, @capitolai CEO @ShaunModi argues the next breakthrough in AI won’t come from model capability alone, but from designing systems people can actually trust and use.

From @NASA to @Airbnb to enterprise AI, the pattern is the same: technology wins when complexity becomes intuitive.

Read: https://t.co/uhRhkdl1OV

[Capitol AI @capitolai]

We're excited to announce a new Capitol AI x @CarbonArcAI partnership.

Carbon Arc built a platform with 210+ real-world data assets (card spend, payrolls, trade claims, foot traffic) and made them available through a single, clean consumption model. Data that used to take months to source and negotiate? It's just there.

What this means for our clients: you now have access to instant, hard to find data that Capitol transforms into decision-grade intelligence. No more stitching together sources or waiting on lengthy procurement cycles, just the data you need, ready to inform real decisions.

Our clients don't just need access to great data, they need to understand it, trust it, and use it to make better decisions faster. That's exactly what this partnership delivers.

Carbon Arc brings the data. Capitol makes it actionable. Our clients get a serious edge.

[Capitol AI @capitolai]

Great session presenting to EY’s EU leadership in San Francisco. What we shared:

1. The accelerating pace of innovation across the AI ecosystem.

2. How innovation has expanded beyond frontier labs to a much wider ecosystem: not just open-source models, but also modular agent harnesses; one example is Skills.

3. The leaders we spoke with shared how deeply they are thinking about how AI transforms the opportunity set for their clients.

4. There’s a ton of innovation in AI as a technology right now, but data remains the moat.

5. There continues to be a growing emphasis on “proactive agents”: agents that can be triggered externally by a non-human event and then go and do things on your behalf.

[Capitol AI @capitolai]

Consulting firms have become a key bridge between AI models and the enterprise. They understand how real workflows operate and how to move organizations out of experimentation and into production.

That position makes sense right now. But the ground is already shifting.

As AI moves into core operations, the question becomes durability. Systems need to hold up over time and under pressure, especially when decisions have consequences.

Relying on a single model provider hands over too much control. Pricing, performance, and roadmap decisions sit outside the organization. Teams are starting to move toward systems that let them switch models freely while keeping workflows intact.

In our latest piece, CEO @ShaunModi looks at how this shift is playing out across consulting firms and enterprise AI adoption, and what it means as AI becomes part of the systems organizations actually rely on.

Read the full article here:
https://t.co/rRc1hbWpuL

[Capitol AI @capitolai]

When you're locked in with one AI model and they're having a major outage, what do you do? How long are you without their service and what's the impact to your business operations? With Capitol you just have to select a different model from the dropdown and you're on your way!

[Capitol AI @capitolai]

AI adoption in the UK is entering a more decisive phase as institutions push for speed, clarity, and accountability.

Capitol advisor @lionelbarber clearly captures this shift in his recent comments in @businesslive.

At Capitol, we’re building directly into this shift alongside Lionel, designing decision-grade systems and infrastructure for institutions operating under real pressure.

https://t.co/OaKX8KqwDp

[Capitol AI @capitolai]

With our continued expansion across the UK and Europe, we’ve established an Advisory Board to guide our growth in regulated, high-stakes environments, starting in London.

We’re glad to welcome @LionelBarber and @edvaizey as members. Together, they bring a rare combination of global finance, media, and government experience, shaping how decisions are made across policy, regulation, and national infrastructure, exactly where Capitol operates.

Lionel spent 15 years as Editor of the @FinancialTimes , overseeing one of the most consequential periods in global markets and media, and Lord Vaizey, a member of the @UKHouseofLords, has played a key role in shaping the UK’s approach to culture, digital policy, and technology at the ministerial level.

Their experience reflects the standards our customers operate under, where decisions carry regulatory, economic, and public consequences. Their guidance and perspectives are actively shaping how we build and scale in the region.

Read more here: https://t.co/9dL1qzUiVR

[Capitol AI @capitolai]

Establishing roots in the UK.

We’re formalizing our presence to better support the institutions we already work with across the region, and to continue expanding alongside them as their needs evolve.

Mike Nayler is leading Capitol's UK and Europe GTM efforts as we build a localized, on-the-ground approach.

More here: https://t.co/nvnREamfZb

[Capitol AI @capitolai]

Capitol is doubling down on the UK and Europe.

We’ve brought on Mike Nayler as VP of GTM to lead the charge.

As AI adoption accelerates, institutions are facing a real choice: move fast with generic tools or build infrastructure they can actually trust.

Across Europe, that conversation is increasingly about sovereignty, governance, and control. Not just capability.

Mike has spent his career operating at that intersection across government and global enterprise. He’s here to scale our presence and help organizations turn data into decision-grade intelligence.

https://t.co/cqwo69VWZc

[Capitol AI @capitolai]

Short-term disruption often dominates the conversation around AI and jobs.

Spend enough time with teams already using these systems in workflows and a different pattern shows up.

As businesses move towards operational integration, new roles, workflows, and industries begin to emerge.

We’ve already seen this across every major tech wave in history. The pace of change makes forecasting difficult, but history shows a consistent pattern: early task compression followed by job creation.

Our latest blog post explores what this shift actually means for the future of work.

[Shaun Modi @ShaunModi]

Don't panic.

It's too early to predict the future of jobs in the wake of AI advancement. All we have is an educated guess - want to know my views?

-While some jobs may shrink, others will GROW

-NEW job roles and responsibilities are emerging faster than we can define them - we barely know what the next 12 months will look like, let alone the next decade

-There's a clear OPPORTUNITY - businesses that make the right AI investment get ahead, grow faster, and increase headcounts

-Rather than using a crystal ball for the future, LOOK AT THE PAST - the dot com and App eras can help us understand the impact of new technologies on job roles

[Capitol AI @capitolai]

Commercial due diligence drives some of the most critical decisions across modern enterprises.

Acquisitions. Vendor procurement. Strategic partnerships. IPO preparation.

Yet most diligence processes still rely on fragmented workflows. Analysts reconcile spreadsheets, reports, and internal systems while trying to rebuild the same analyses across teams and transactions.

Over time, that strain becomes structural. Automation changes diligence, though, when structure leads the design.

In our latest blog, we examine why commercial due diligence struggles at scale and what effective automation requires:

Standardized workflows that preserve institutional knowledge

Governed data sources with consistent, trusted inputs

Traceable evidence chains that support defensible conclusions

Decision grade outputs built to withstand scrutiny

Read the full article here:
https://t.co/LRj9DclyDJ

[Shaun Modi @ShaunModi]

https://t.co/NHlxKgKQKu

[Capitol AI @capitolai]

Enterprises in regulated, high-stakes industries need sovereignty over their data. At Capitol, we’ve been building for that reality from the start. Here’s why it matters.

1. Model flexibility is strategic control: Capitol is model-agnostic by design. Organizations can integrate and swap models as the ecosystem evolves without rebuilding their infrastructure.

2. Sovereignty means control, not just hosting: Running AI in your environment is table stakes. True sovereignty means no data egress, no training on client data, embedded evaluation frameworks, and full execution traceability.

3. Decision-grade outputs are non-negotiable: In financial services, professional services, and government, AI outputs must withstand audit and regulatory scrutiny. Capitol produces structured, fully attributable artifacts inside secure enterprise environments.

4. Design makes the system powerful: Enterprise AI fails when powerful systems are impossible to operate. Capitol is built with a design-first architecture so analysts and decision-makers can generate intelligence that is structured, auditable, and usable in real workflows.

We built Capitol as intelligence infrastructure for institutions that cannot afford to lose control of their data, their workflows, or their decisions.

Welcome to the future of enterprise AI.

[Capitol AI @capitolai]

Defense modernization requires intelligence infrastructure built for scrutiny.

In his latest op ed, our CEO and Founder @ShaunModi outlines a procurement path grounded in sovereign deployment, reproducible and attributable outputs, embedded governance, and long term model flexibility.

High stakes institutions require decision grade intelligence that operates inside secure environments and aligns with operational standards.

Read the full piece:
https://t.co/9kOBEQw0Mu

[Shaun Modi @ShaunModi]

If there’s one thing I hope you’ll take from my recent piece in Battle Updates is that defense procurement is overdue for modernization.

There is a great need for structured intelligence in defense procurement and for AI in high-stakes environments to be governed from day one as a baseline requirement.

I hope you’ll take just a few minutes to read it: https://t.co/0YGVV3oJBN

[Shaun Modi @ShaunModi]

Most AI is a chatbot. This Persian Gulf Crisis Global Energy Trade Impact Dashboard was built in a fully automated way using @capitolai's Composer product. It maps a 97% collapse in traffic through the Strait of Hormuz, freight insurance shocks, fertilizer + food security trends, and country exposure... amongst other key trends that matter.

Play around with the link (on a desktop). Would love to hear your feedback on what's missing. Can be easily updated by simply dropping datasets into the Composer. Raw, but that's how we like it.

https://t.co/1NljMqfCbR

[Capitol AI @capitolai]

Pulse 2.0's @amitchowdhry profiled Capitol AI and our founder and CEO, @ShaunModi, on building a sovereign operating system for intelligence.

Shaun andTom started Capitol after seeing firsthand while working inside government and enterprise teams how high-stakes institutions lacked the infrastructure to turn fragmented data into accountable, decision-ready work product.

As AI moves into finance, procurement, professional services, and government agencies, the requirement is shifting from experimentation to accountability. Institutions need systems that run inside their own infrastructure, transform proprietary data into decision-grade artifacts, and produce outputs that are fully attributable and auditable.

Read the full interview at @pulse2news https://t.co/oEe8NKV6sI

[Capitol AI @capitolai]

@pulse2news @amitchowdhry profiled Capitol and our founder and CEO, @ShaunModi , on building a sovereign operating system for intelligence.

Shaun and Tom started Capitol after seeing firsthand while working inside government and enterprise teams how high-stakes institutions lacked the infrastructure to turn fragmented data into accountable, decision-ready work product.

As AI moves into finance, procurement, professional services, and government agencies, the requirement is shifting from experimentation to accountability. Institutions need systems that run inside their own infrastructure, transform proprietary data into decision-grade artifacts, and produce outputs that are fully attributable and auditable.

Read the full interview: https://t.co/oEe8NKVEig

[Shaun Modi @ShaunModi]

First day in @capitolai’s new office in Washington DC!