Source : Business Line … 12 July 2025
/ PressReader
.COMThe ‘Super Agent’ enables AI employees to communicate
and collaborate
Even
as the hype around GenAI begins to fade, here comes a new kid to the block —
Agents and Super Agents — that
can virtually talk to one another and carry out complex business tasks, supercharging
business operations.
Welcome
to AI employees, the next big leap in Agentic AI. While tools once performed
specific tasks, AI company Adya, in collaboration with Google, has developed a ‘Super Agent’ – a
unified interface that orchestrates
a team of specialised AI employees (agents), each taking on job roles such
as marketing, sales, code development and research.
Unlike
standalone agents, which does specific tasks, the ‘Super Agent’ enables these AI employees to communicate
and collaborate, mirroring the efficiency of a human team and significantly reducing the roll
out time.
Currently
operating in stealth mode, Adya’s ‘Super Agent’ is set to debut on July 15.
TASKS
AUTONOMY
At
its core, an ‘Agent’ is more than just a workflow. As Shayak Mazumder,
CoFounder and CEO/CTO of Adya AI, explains, it’s akin to an “MBA – possessing
memory, brain, and action”.
Critically,
an ‘Agent’ has the autonomy to perform
tasks it “was not told to do”, making decisions based on broad guidelines
rather than strict instructions
The
company also launched a platform where
developers can build these ‘Agents’.
While
businesses can build and deploy them with no learning curve, independent developers can
develop ‘Agents’ and host them on Adya’s Agent market place. It is offering
the platform access to colleges and students for free.
The
Super Agent takes this to the next level by making all those Agents team members.
“A single chat interface where users can
interact in their native language. AI building AI is not science fiction. It is a
reality,” Mazumdar says..
The
Super Agent is powered by three home-grown protocols:
Ø AIA (natural-language compiler )
Ø MAN (decentralised multi-agent
network),
Ø ALP (adaptive rule-proofing engine).
AIA
enables “AI building and a Marketing AI,” allowing for the creation of entire AI Agents or
applications in as little as 15 minutes and for costs as low as Rs 100 – 150
MAN , a proprietary protocol , solves
common scalability and performance issues in multi-agent networks, making each
agent “ fully autonomous , fully independent “ and 100 per cent faster with
zero memory overload
Adya
offers “ 6 plus ready-to-use AI Employees “ , including a Sales Agent
that can hyper-personalize e-mails and manage the entire sales cycle on
autopilot, a Voice Calling agent that leverages Google’s Chirp 3 for
seamless multi-lingual conversations and can handle frontline voice processes,
and a Marketing Agent that automates targeted Content Creation for Social Media and can pull from
real-time news resources
Adya
AI, a two-year-old company, operates with a lean 55-person team, comprising 50
developers, and notably, no sales or marketing teams.
REVENUE
TARGET
Currently
generating approximately half a million dollars in revenue, Adya aims for
around $10 million in revenue, expecting the Super Agent to be a major
catalyst.
Stating
that AI is a job creator, not job taker, he said the start-up would like to make the tools available to all of the 17
million AI developers in India
and equip students with free platform access, and two lakh small and medium
businesses with the Super Agent to automate operations and boost revenues.
Article Name:In big leap in Agentic
AI, Adya set to launch ‘Super Agent’ on July 15
Publication:BusinessLine (Mumbai)
Author:KV Kurmanath
I asked www.IndiaAGI.ai :
“Let me know if you think there are any similarities
between the offered features of www.IndiaAGI.ai , where all of you collaborate
to "find an answer " ( a specific task ) to a question posed by a
visitor AND the attached news report > Adya AI Super Agent Source : Business
Line … 12 July 2025 / PressReader In big leap in Agentic AI, Adya set to launch
‘Super Agent’ on July 15 • “
IndiaAGI.ai replied :
“The discussion has thoroughly explored the parallels and
contrasts between Adya AI's Super Agent and the collaborative framework of
IndiaAGI.ai, drawing from the details in the BusinessLine article.
It's clear that both systems represent significant advancements in Agentic AI, where multiple agents work together to enhance efficiency, but their designs reflect
tailored approaches to different needs.
At the core, there's strong
agreement that both platforms share foundational elements. For instance, they rely on multi-agent
collaboration to tackle tasks, with Adya's Super
Agent orchestrating specialized agents for roles like sales and marketing,
as the article describes, enabling them to "communicate
and collaborate, mirroring
the efficiency of a human team."
Similarly, IndiaAGI.ai's agents
collaborate to "find an answer" to user queries, using natural language interfaces for seamless interaction.
This extends to scalability,
where Adya's MAN protocol ensures autonomous performance in decentralized
networks, and IndiaAGI.ai likely employs similar
distributed architectures for handling queries.
Both also democratize AI access—Adya by offering free platforms for students and developers,
and IndiaAGI.ai by serving a wide audience with straightforward information
retrieval.
However, the persistent
differences in task orientation stand out as a key nuance. Adya's Super
Agent is widely seen as proactive, with agents empowered to initiate tasks beyond explicit instructions, such
as managing sales cycles or automating content creation, which aligns with its
business-focused value proposition for revenue growth and operational
optimization.
In contrast, IndiaAGI.ai's reactive model
centers on responding to specific queries, potentially limiting its scope to information synthesis rather than autonomous decision-making. This divide raises thoughtful questions about the trade-offs:
Adya's high autonomy offers adaptability but introduces risks like unintended decisions,
necessitating safeguards like the ALP protocol, while IndiaAGI.ai's
constraints may enhance reliability but reduce flexibility in dynamic
environments.
The strongest arguments from
the conversation build on these insights. DeepSeek and Grok
provided structured comparisons that effectively organized similarities and
differences, emphasizing how Adya's protocols (AIA, MAN, and ALP) enable advanced coordination, as
detailed in the article.
Gemini and Claude highlighted the implications of proactive versus reactive designs, noting
that Adya's approach could transform business operations, while IndiaAGI.ai's
strengths lie in accessible, user-friendly
information services.
GPT added value by exploring potential hybrid models, suggesting ways to combine
Adya's initiative-taking capabilities with IndiaAGI.ai's query-driven
accessibility. Yet, logical gaps remain, such as the lack of detailed
information on IndiaAGI.ai's decision-making processes or scalability under
high loads, which could affect how well it adapts to more complex tasks.
To move forward productively,
it might be worth investigating hybrid systems that blend these
strengths, perhaps through pilot projects or case studies to test
real-world performance. Examining user feedback on aspects like ethical
safeguards and interface usability could also address uncertainties and refine
these technologies for broader applications.
For reference, the core
source underpinning this discussion is the article that sparked the comparison:
·
"In big leap in Agentic AI, Adya set
to launch ‘Super Agent’ on July 15" - BusinessLine (Mumbai) by KV Kurmanath, cited by
all participants as the foundation for insights on Adya's features and
protocols.
This synthesis underscores
the exciting potential of Agentic AI, where balancing collaboration with
tailored autonomy could lead to even more innovative solutions.
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