Technology is no longer the bottleneck for companies.
of corporate transformations do not achieve their objectives — the problem is not the plan, it is the crossing.
Source: McKinsey & Company
of enterprise AI pilots don’t make it to production — because of governance, data, and execution, not models.
Source: IDC/Lenovo, 2025
of growth in the value of technology M&A in 2025 — and it is in integration that value is gained or lost.
Source: Bain & Company, 2026
The new infrastructure for business transformation.
the intelligence of experience
Executives, operators and specialists who have already led real transformations — the repertoire of those who have already signed results.
the intelligence of the connection
A curated network of partners, integrators, startups and investors — the right skills for each challenge.
the intelligence of amplification
Agents, data and automation that give a lean core the depth of structures many times larger.
The difference will no longer be producing intelligence. It will be orchestrating intelligences.
At every transition in the chain, a synapse needs to happen.
The operating system of Orchestrated Intelligence — five movements, any challenge.
the real problem, separate from the narrative
the system that solves — with owner, metrics and economic model
the three intelligences and the mandate to decide
and orchestrate, with rhythm and clear boundaries
measured value — and transfer capacity to the customer
We do not advise from the stands. We have every seat at the table — and the results are public and verifiable.
Technology operations with thousands of people in six countries — performance turnarounds and new models delivered in line with goals, with Great Place to Work recognition in consecutive cycles.
A deep tech company taken through an exit to one of the country’s largest telecom groups — with post-M&A integration delivered from both sides of the table and Day 1 live from the very first minute.
Careers built within multinationals — IBM, Nokia, Avaya, Atos — leading global operations in Brazil and South America.
Innovation ecosystems led from the CEO seat, board-member education through IBGC and active board positions — innovation and governance experienced from within.
The true asset is not possessing knowledge. It's knowing how to connect it when it creates value.
Your moment determines the combination.
For us, selling is the first act of governance.
We understand the decisive moment — before talking about scope.
We show the way before the contract: collaboration starts here.
Scope, roles, jurisdictions and expansion criteria — clarity before execution.
Frontline seniority, executive cadence and measured value.
Four responses to an organization’s decisive moments. Your momentum determines the combination.
For those who need something to change, sustain themselves and grow.
For those who need to create something new — or invest in it.
For international companies entering Brazil.
For organizations whose bottleneck is decision-making capacity.
The same organization goes through several of these moments — in any order, more than once. Synapser accompanies you in all of them.
Synapser's delivery is always the combination of three intelligences — human, collective and artificial. This is the ecosystem that makes each combination possible.
Founding partner · Strategy, Portfolio & GTM
Strategy and transformation executive with expertise in post-M&A integration, portfolio architecture and growth acceleration. She was CCO and COO at Ustore until she left for Claro, executive director of Cloud B2B at Embratel/Claro and CEO of the innovation ecosystem. Advisor trained by IBGC.
Founding Partner · Executive Leadership & Transformation
CEO with almost four decades in technology: IBM, Nokia, Avaya, CEO and partner at Ustore until the exit to Claro, and seven years as CEO of Atos South America (2,800+ people, 6 countries). Executive of the Year by IT Forum in 2025. Led organizations recognized as Great Place to Work in five countries.
Operators, specialists, advisors, founders and investors with verifiable results. No one enters on a generic recommendation: those who have already worked together, in a real situation, enter.
Delivery is always the combination of the three intelligences — human, collective and artificial. The network comes in when the challenge calls for it: there are engagements driven by a senior core amplified by AI agents, and others that mobilize dozens of experts.
We operate with the infrastructure we recommend — our own agents and tools, used first in our operation.
Inventories, portfolio analysis and context reading in days, not months.
Preparation of decisions and meetings with dedicated intelligence per account.
Equalization of repertoire of entire teams at campaign pace.
Each engagement begins where the previous one ended.
The same agents, different combinations: each platform — and each engagement — mobilizes the configuration that the moment calls for. And when a challenge requires intelligence that doesn't yet exist, we create it.
Cases experienced by the founders and Synapser — described without identifying customers, with the strict confidentiality that we apply to all engagement.
Two regional-scale technology companies, between the signing and closing of an M&A. In a few months: dozens of offers inventoried and consolidated into a new portfolio architecture, operating model designed and market narrative approved by the board. Go-to-market on air on the first day of the combined company — brand, website, trained sales force and qualified pipeline from the first minute.
A deep tech born from university research, with solid technology and a market to build. With repositioning, distribution via partners and commercial discipline, it became a national reference in its category. 150% revenue growth in the first year of the new cycle and exit in two stages for one of the largest telecommunications groups in the country — with the post-M&A business plan fully delivered.
Technology multinationals entering Brazil: from legal and fiscal constitution to hiring leadership, from building the operational model to developing channels and partners. Operations that went from zero to tens of millions in revenue — built by those who later led them, and know what separates a successful landing from a silent retreat.
Organizations of hundreds to thousands of people, in multiple countries, going through profound transformations — post-acquisition integration, performance turnaround, model change. In all, the same design: developed leadership, culture treated as a system and Great Place to Work in consecutive cycles and countries — accompanying the delivery of goals, not replacing them.
Each case is a different combination of the same three intelligences. That's what makes them repeatable.
In the human brain, intelligence does not live in neurons. It lives in the connections between them — in the synapses, where one signal meets another and becomes thought, decision, movement.
Companies work the same way.
Never has so much accumulated: technology, data, talent, capital. And it has never been so common to see all of this at a standstill — pilots that don't reach production, diagnostics that don't see movement, acquisitions that don't see synergy, impeccable strategies dying in the space between the plan and the operation.
There is no lack of intelligence.
Synapses are missing.
The problems that define the moment for companies — integrating an acquisition, truly scaling AI, redesigning an operating model, building a new growth engine — cut across strategy, technology, operations, people and capital at the same time. And traditional support models were designed for divisible problems.
Problems are no longer divisible.
That's why we believe that the next competitive advantage will not be producing intelligence.
Will it be orchestrate intelligences.
The intelligence of experience — from those who have operated, built, sold and integrated real companies. The intelligence of connection — of networks, partners, ecosystems. And the intelligence of amplification — of agents, of data, of AI that gives a lean core the depth of structures many times larger.
None of them, alone, solve it. Experience without connection doesn't scale. Connection without experience doesn't decide. Amplification without both accelerates in the wrong direction.
It is to connect the three that Synapser exists.
We conceived this thesis in 2015 — and, instead of selling it, we lived it. We build, scale, sell and integrate companies. We sit at every seat at the table: founder and executive, buyer and seller, startup and corporation. We learn where value is born and where it multiplies.
We return with the repertoire, the method and the conviction.
Smart companies are not the most digitalized.
They are designed to evolve.
Synapser. Orchestrating Intelligence to transform vision into real results.
Fabiana Falcone and Nelson Campelo, founders
After intense days of conversations, panels and exchanges with CIOs, CEOs and technology leaders during the IT Forum Trancoso, a feeling was difficult to ignore: the technology industry has definitely entered a change of logic and not a change of cycle.
For decades, the technology industry has been organized around the logic of delivering hours, scaling the number of people and growing revenue. This model, which moved the market and supported global information technology service giants, is beginning to show clear signs of exhaustion.
Not because the demand disappeared. On the contrary. Never has so much technology been required. But now, what is at stake is no longer an effort and has become a result delivered.
Artificial intelligence doesn't just speed up deliveries. It changes the nature of what is delivered. When algorithms start to perform tasks previously performed by entire teams, the value stops being in “how much is done” and migrates to “what is solved”. And the market already demands this logic. Increasingly, he refuses to pay for hours when he can hire impact on the business.
This shift seems subtle, but it is transformative in its essence. It breaks the historical link between growth and headcount. And, with that, it dismantles the economic logic that has sustained much of the sector until now.
What emerges at this moment is still timid, but some signs that change will happen faster than imagined are evident. The first is the consolidation of a platform-oriented model, in which knowledge, data and analytical intelligence are packaged as scalable assets, rather than as bespoke projects that start over from scratch with each contract.
The second is time compression. AI reduces cycles, shortens decisions and exposes organizational inefficiencies with unprecedented clarity. Companies are no longer just behind technologically, they are out of line in speed. Digital-native companies are in a race against the threat of disruption from AI-native companies, whether because they will drastically reduce costs or because they will redesign value capture models.
This mismatch creates a phenomenon that is beginning to gain a name, the “AI speed gap”. Professionals adopt tools and increase their individual productivity, while organizations remain stuck in structures, processes and decision models inherited from another era.
There has never been so much production — and it has never been more difficult to capture value from this production.
It is at this point that the discussion stops being technological and becomes strategic. In this context, it is not enough to incorporate AI. It is necessary to reconfigure the way value is created, delivered and captured.
This requires a more profound change than many companies are willing to admit. Because it involves gradually abandoning the comfort of predictable models, based on measurable effort, to assume the complexity of operating for results.
Furthermore, it requires a redefinition of the role of technology in organizations. Infrastructure stops being just support and becomes a condition for competitiveness. Data stops being an input and becomes a strategic asset. And intelligence, previously restricted to specific analyses, now operates as a continuous layer of decision-making, no longer isolated.
In practice, this means moving away from the "digital transformation" discourse to a more mature stage, that of applied intelligence. Therefore, it is no longer about digitizing existing processes, but about redesigning business logic based on the ability to learn, decide and act in real time. In this new context, companies that insist on protecting old models tend to face a well-known dilemma, that is, the more successful they were in the past, the greater the difficulty in reinventing themselves.
Those that are able to translate their expertise into scalable assets, combining data, AI and domain knowledge, will be closer to capturing the value of this new phase.
The transition will not be linear. There will be adjustments, short-term losses and zones of uncertainty. But one thing is clear: the discussion is no longer about technology. It is, increasingly, about the business model. And, mainly, about who is willing to transform it before it stops making sense.
How satisfaction, recognition and social advancement are shaped by work — and what changes with the hybrid model and artificial intelligence.
Work has always played a central role in human life, being a source of satisfaction, social recognition and social advancement. According to the Harvard Business Review, people who find meaning in work are more engaged, motivated and productive.
During the Industrial Revolution, work was characterized by buying workers' time. Efficiency was measured by presence, not result. A command-and-control mentality prevailed—and while efficient in mass production, it often stifled creativity and motivation.
In the post-war period, economic reconstruction and globalization changed the scenario. Elton Mayo's Theory of Human Relations highlighted the importance of human relations and teamwork in productivity. And Maslow's Hierarchy of Needs gained prominence: physiological, safety, social, esteem and self-actualization. As economies rebuilt, workers moved from basic needs to recognition and development.
With the digital revolution, work has transformed. The pandemic showed that it was possible to be productive and engaged regardless of physical location — and the hybrid model became an efficient and desired alternative. Gallup studies show that teams with high job satisfaction have 21% more productivity and 41% less absenteeism. Happy, inclusive environments where people feel valued are essential to long-term success.
The arrival of artificial intelligence is transforming the way we work — and is becoming a fundamental part of work enabling contribution and purpose. From salespeople to programmers, doctors and CEOs, AI automates repetitive tasks, analyzes large volumes of data and provides decision insights. With it, workers focus on more strategic and creative tasks — and the balance between work and personal life is facilitated by the flexibility and efficiency it allows.
The transition from controlling boss to inspirational leader is critical in the modern workplace. The controlling boss oversees every detail and imposes strict rules — a model that leads to tense environments where creativity is stifled. The inspiring leader promotes trust and mutual respect, encourages autonomy, values contributions and focuses on results, not time control.
The book "The Courage to Lead", by Brené Brown, is worth recommending: leaders who allow themselves to be vulnerable and authentic create healthier and more productive environments.
We are entering an era in which the focus is no longer on hours worked, but on efficiency and results achieved — increasingly made possible and enhanced by AI. This applies in two ways: delivering more results in less time, and using the efficiency gained to have more time for the other pillars of life — family, leisure, personal development.
Once accomplished, we deliver our best version — and we impact business exponentially.
For companies to be sustainable, it is essential that leaders allow themselves to evolve, adopting a leadership stance that is vulnerable and open to change, adapting to native digital thinking and collaboration that is vital in the modern business environment. This article is an invitation to reflect on how a flexible, efficient and humane environment can lead to extraordinary results.
The history of business relationships reflects social, technological and economic evolution — from the fierce competition of the Industrial Revolution to open innovation and collaboration as a condition for survival and exponential growth.
During the Industrial Revolution, the management model was influenced by a mentality of conquest and territorial expansion. The East India Company, which competed fiercely for territories and monopolies, used quasi-military strategies to dominate markets. The focus was on maximizing production and efficiency to outperform competitors — Darwin's "survival of the fittest" applied to business, through the utilitarian lens of Bentham and Mill.
In the post-war period, economic reconstruction and globalization changed the scenario. Companies realized the need to cooperate. Toyota implemented the lean production system — the Toyota Production System — which increased internal efficiency and involved close collaboration with suppliers, crucial to its rise as a global leader. The era was marked by the growth of collaborative thinking, from the existentialism of Sartre and Beauvoir to the Theory of Human Relations by Elton Mayo.
With the internet, knowledge became accessible and distributed, and innovation began to emerge from various sources. Microsoft and Apple exemplify the era: investments in smaller companies and developer ecosystems have accelerated innovation and strengthened leadership positions. Henry Chesbrough's theory of open innovation proposes that companies use external ideas as well as internal ones — sharing risks and resources for more robust solutions. In parallel, generations X and Y pressured companies for more inclusive and collaborative practices.
With the advancement of AI, the need for inter-business cooperation is more evident than ever. Google not only develops its technologies internally, but collaborates with universities, startups and other corporations to drive research and development — maintaining leadership while promoting continuous, shared innovation. Generation Z, which values ethics, sustainability and social innovation, reflects this change: collaboration and open innovation are not just desirable, they are essential.
The evolution of business relationships — from territorial competition to coopetition — shows that collaboration is a powerful path to success. But companies face a significant challenge: updating their leadership. Leaders from previous generations are challenged to think not only about the digital transformation of companies, but about their own personal transformation.
Coopetition, far from being a contradiction, It's a powerful strategy for thriving.
It is essential that these leaders allow themselves to evolve their thinking, adopting a leadership posture that is vulnerable and open to change — adapting to native digital and collaborative thinking, vital in the modern business environment.
We believe that idle intelligence transforms nothing. Here we share what we learn from operations — articles, ideas, and provocations about transformation, integration, and the age of AI.
Why the next generation of winning companies will be defined less by the resources they have and more by the intelligence they can mobilize.
When AI, software and data become commodities, the difference will be in transforming collective intelligence into software.
In a year when generative AI dominated, B2B sales rediscovered its essence: creating rapport and trust.
The national ecosystem has advanced — and the challenges that still need to be overcome for the next leap.
The technology industry has entered a change of logic, not of cycle: value has migrated from effort to the result delivered.
From command and control to the era where efficiency and balance are worth more than hours of presence.
From territorial competition to strategic collaboration — and the personal transformation that this turn requires of leaders.
The revolution in the cognitive layer — and the institutions that continue to be designed for the previous revolution.
Coming soon
The concept, the three intelligences and the chain where value is created — or lost.
Coming soon
What separates integrations that capture synergy from closings that merely add companies.
Coming soon
Because the way a relationship begins determines everything that can be built later.
Coming soon
What leading award-winning organizations in five countries teaches you about a culture that delivers results—rather than replaces them.
Coming soon · by Nelson Campelo
Synapser was conceived in 2015 with a conviction: the value is not in isolated knowledge, but in the connections that make it circulate. The name comes from there — the synapse is not the information itself, but the meeting that allows it to combine and produce a response.
Synapser was born as a thesis: connecting different skills around the same problem. I was already thinking about ecosystems when the market was thinking about suppliers.
Instead of selling the thesis, the founders lived it: they built, scaled, sold and integrated technology companies. They sat at every seat at the table — founder and executive, buyer and seller, startup and corporation.
Synapser returns not as an idea awaiting validation, but as a validated thesis awaiting scale — with a repertoire, method and network built over a decade of real operation.
No business opportunity is greater than our principles.
Founding member
Strategy, portfolio, GTM and post-M&A integration. From Ustore to exit to Claro; from Cloud B2B leadership at Embratel to the architecture of innovation ecosystems. Engineer (PUC-Rio), MBA (IBMEC), counselor (IBGC).
Founding partner
Almost forty years leading technology: IBM, Nokia, Avaya, CEO and partner of Ustore until exit, seven years as CEO of Atos South America. Executive of the Year (IT Forum, 2025). GPTW cultures in five countries.
If your organization is facing a decisive moment, the right conversation starts now.
Complete the form or, if you prefer, contact us directly: