TROY, Mich., May 26th, 2026, ZEX PR WIRE — Enterprises are moving faster with AI than ever before. But many are also quietly losing comprehension of the systems they are building.

Engineering teams now generate code, workflows, automations, and AI-driven decisions at unprecedented speed using tools like Claude, Codex, Cursor, and enterprise copilots. While productivity has increased, organizations are also experiencing a new operational challenge: more meetings, fragmented workflows, inconsistent outputs, security concerns, architecture drift, and growing difficulty understanding how systems actually work together.

Giggso calls this problem “comprehension debt” — the growing gap between AI-generated velocity and organizational understanding.

Today, Giggso announced Raven, Andie, and AIRTaaS, three offerings designed to help enterprises reduce comprehension debt and bring discipline, reasoning, and continuous security testing into AI adoption at scale.

Together, the offerings form the front door into GSD (Giggso Security Domain), Giggso’s broader architecture for governing, securing, and operationalizing enterprise AI systems.

“At a small scale, AI feels magical,” said Ravi Venugopal, Founder and CEO of Giggso. “At enterprise scale, it can quickly become operational chaos. Teams move faster, but understanding drops. Meetings increase. Ownership blurs. AI starts producing more than organizations can realistically comprehend or govern. That is the problem we are solving.”

At the center of the announcement is Raven, Giggso’s discipline layer for AI-assisted software development.

Raven is designed to help organizations enforce engineering discipline inside AI-driven development workflows before problems reach production. Rather than acting as a traditional code scanner after development is complete, Raven introduces governance, architecture awareness, policy enforcement, and review controls directly into AI-assisted coding environments.

The platform helps organizations identify risks such as:

• architecture drift
• unapproved libraries
• exposed secrets
• policy violations
• insecure dependencies
• undocumented AI-generated logic
• uncontrolled AI usage patterns

The goal is not to slow development, but to preserve organizational understanding as teams move at AI speed.

“AI can now generate code faster than teams can comprehend it,” Ravi said. “Without discipline, enterprises accumulate technical debt, security exposure, and operational confusion at machine speed. Raven helps organizations preserve engineering quality and architectural understanding while still moving fast.”

Giggso also introduced Andie, a structured reasoning engine designed to help enterprises improve contextual thinking and operational decision-making across teams.

Unlike traditional chatbot-style AI interfaces that generate isolated answers, Andie is designed to help organizations reason through problems with context, constraints, and multiple perspectives in mind. The platform is intended to support operational workflows across delivery, strategy, planning, support, and execution environments.

Giggso believes one of the biggest failures in enterprise AI adoption is not a lack of intelligence, but a loss of shared understanding.

“Most organizations do not need another chatbot,” Ravi said. “They need systems that help teams think more clearly together. AI should reduce confusion, not multiply it. Andie is designed to strengthen organizational reasoning, preserve context, and reduce the fragmentation that happens when every team operates with disconnected AI outputs.”

To address the growing security risks around enterprise AI adoption, Giggso is also expanding AIRTaaS, its AI Red Teaming as a Service platform.

As enterprises deploy AI agents, copilots, retrieval systems, and autonomous workflows into production, traditional security testing approaches are increasingly insufficient. AI systems can fail through prompt injection, hallucinations, role-boundary violations, tool misuse, unsafe autonomy, data leakage, and adversarial manipulation.

AIRTaaS continuously stress-tests AI systems against these real-world failure scenarios before they become operational incidents.

The platform combines:

• AI red teaming
• observability
• governance workflows
• incident tracking
• remediation guidance
• human-led adversarial testing

To strengthen its execution capabilities, Giggso has partnered with Seiance India, a woman-owned AI security startup based in Chennai, India, whose product, Trinity, is an AI security and observability platform.

“AIRTaaS turns AI security into an operational discipline instead of a compliance checkbox,” said Abhinaya, CEO of Seiance India P Ltd.
“Enterprises need continuous stress testing because AI systems are constantly evolving. Our focus is helping organizations identify weaknesses early, validate resilience continuously, and improve trust in production AI systems.”

Giggso also announced that portions of AIRTaaS and related tooling will be free for Individual Developers, while core Enterprise developer-focused red teaming capabilities will be low-cost and easy to certify for teams.

The company said the decision reflects a growing concern about “AI washing” — where organizations overstate AI capabilities without sufficient operational rigor — and the rise of “AI slop,” low-quality AI-generated outputs that appear acceptable on the surface but fail under real operational conditions.

“We believe AI adoption needs more honesty, more discipline, and far more operational accountability,” Ravi said. “The future belongs to organizations that can scale AI without losing security, comprehension, governance, and trust in the process.”

Raven, Andie, and AIRTaaS are part of GSD (Giggso Security Domain), Giggso’s enterprise architecture for governing AI systems, coding workflows, observability, orchestration, reasoning, and AI operational security across the enterprise.

More information is available at Giggso

Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.

Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.

“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan

Why aggregation produces better pricing

Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.

The broadest token coverage of any market maker

API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.

For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.

Flexible connectivity and settlement

API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:

• Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection

• Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work

Settlement is handled through institutional partners, with options for fiat and stablecoins:

• Hidden Road and BitGo Go Network for custodial settlement

• Customers Bank CUBIX for fiat settlement in USD

• USDT and USDC settlement available directly

Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.

About Caladan

Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.

Emotionally intelligent text-to-speech engine reads context automatically — no manual tags required 

Palo Alto, Calif, May 26th 2026, AI Studios, the AI video and voice synthesis platform by DeepBrain AI (CEO Jay Jang), today announced a significant upgrade to its expressive text-to-speech (TTS) engine, delivering emotionally intelligent AI voices that automatically adapt tone, pacing, and delivery to match the context of any content.

The global TTS market is projected to surpass $104 billion by 2034, driven by surging demand for AI voices that sound human — not synthetic. AI Studios’ upgraded engine addresses this directly, moving beyond flat narration to produce voices that interpret meaning, carry emotion, and perform with the nuance of a trained voice actor.

The system requires no manual instruction tags. Rather than relying on preset emotion labels, the AI reads punctuation, sentence structure, and semantic context to automatically apply the most fitting tone and delivery. A sentence that builds dramatic tension sounds different from one that announces breaking news — even without any additional prompting. Subtle vocal textures like whispers, laughter, and breath are also rendered with precision, adding depth and realism that standard TTS cannot replicate.

To serve a wide range of creators and use cases, AI Studios offers more than 1,000 AI voices organized by content category — news, audiobooks, short-form video, live commerce, and education. Each category is tuned for its context: news voices carry authority and clarity, audiobook narrators build emotional arcs, short-form and live commerce voices drive engagement and urgency, and education voices balance warmth with precision. Creators can find the right voice immediately, without recording sessions or audio editing.

The expressive TTS engine integrates with AI Studios’ custom avatar and AI voice cloning services. Combined with the platform’s digital human technology — which replicates a person’s face, expressions, and gestures — the result is video content nearly indistinguishable from a real person on camera. Brands and educators can also clone a specific speaker’s voice and personality, building a consistent AI voice talent that scales across every piece of content without additional studio time.

“We’re moving past AI that recites text,” said Jay Jang, CEO of DeepBrain AI. “Expressive TTS that reads context and performs accordingly is the new baseline — and it changes what’s possible across audiobooks, short-form video, AI avatars, and beyond.”

AI Studios serves clients across finance, education, media, public services, and marketing, providing tools for AI avatar creation, AI voice synthesis, dubbing, and text-to-video production. The platform is developed by DeepBrain AI, a South Korean generative AI company. 

About DeepBrain AI

DeepBrain AI is a global leader in AI Avatar, AI Agent, and AI Human technology. Its flagship B2B SaaS platform, AI Studios, helps enterprises create hyper-realistic AI avatars, real-time avatar agents, and localized video content at scale. Based in Palo Alto, Calif., DeepBrain AI serves enterprise customers worldwide.

Media Contact:
Selena Kim  · 
global@deepbrain.io
www.aistudios.com