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The AI industry is at a crossroads. While some companies churn out flashy AI tools with limited functionality, we are building the foundation for a new era of work. We're leading the artificial intelligence revolution by delivering AI workers that address real problems.
The Big Challenges in Work and AI Today
All eyes have been on AI these past few years, and 2024 has marked agentic AI as one of its biggest trends. But as it turns out, the road to impactful enterprise AI adoption isn’t as simple as many hoped.
Broadly speaking, work as we know it is broken. Repetitive, low-value tasks across industries like insurance and banking bog down talented professionals. The spreadsheets, data entry, and routine compliance checks are unproductive and draining, leaving little room for strategic thinking.
Meanwhile, the generational workforce gap is widening. Experienced professionals are retiring, and younger, less-experienced employees are struggling to fill the void. This talent imbalance creates operational bottlenecks and unmet demands in industries that demand precision and expertise.
The industry has been grappling with its own issues on the AI side of things. Some got caught up in the “wow factor” of the technology, while others rushed to market with overpromised yet underdelivered tools. Most GenAI players still offer only partial tooling, which leads to several key challenges:
Overwhelming complexity: Buying AI tools is complicated. Using them is even more so. Maintaining them? That’s another beast entirely. Businesses are forced to research multiple vendors and piece together solutions—none of which work seamlessly.
Low ROI: Once you’ve overcome that first learning curve, the hoped-for benefits often fail to materialize. Stitching together tools from different vendors is resource-intensive and rarely delivers the outcomes businesses need.
To put it in perspective, imagine assembling a 1,000-piece puzzle without a picture for reference. That’s the state of AI adoption today—frustrating, time-consuming, overburdening, and ultimately unsatisfying for most businesses.
Recognizing the Problem, Leading the Charge
We saw these issues long before they became industry-wide pain points, and we have learned many lessons along the way. We realized that solving these challenges required a fundamental shift in how businesses think about AI.
Instead of treating AI as a set of isolated tools, we envisioned AI workers. They are end-to-end, ready-to-deploy units of labor that don’t just assist with workflows—they transform them and make businesses more efficient, profitable, and scalable.
We wanted to hand businesses an entire “team of skilled laborers,“ all accessible through our unified Agentic AI Platform.
How Multimodal is Changing the Game
Here’s where things get interesting. Multimodal was one of the first companies to recognize these issues and take steps to solve them.
We stand apart with vertical-specific AI solutions tailored to industries like insurance and finance. Unlike generic tools that serve all industries, our AI workers are built to handle the specific demands of these sectors, delivering greater efficiency and accuracy.
Enterprises often try building AI solutions in-house, starting with hardware or foundational models. While this works for one or two workflows, scaling across multiple workflows becomes unmanageable.
Our comprehensive platform solves this by offering scalable, ready-to-use AI workers where general tools and point solutions fall short.
Our focus is on delivering exceptional value to customers, developing the best software to address customer pain points, and maintaining a strong commitment to security and data privacy.
We aim to push the boundaries of AI while ensuring our solutions are secure, reliable, and aligned with our clients’ needs.
1. A Single Unified Platform Built for Outcomes
Most GenAI players sell complexity. Multimodal eliminates it. Our mainframe platformcombines Process Agents, Search Agents, Decide Agents, and Create Agents into one intuitive system.
This unified approach allows businesses to build, deploy, and manage AI workers. They are more than mere tools but rathercomplete units of labor. We designed them to deliver real outcomes across multiple workflows like loan origination, claims processing, underwriting, and more—ALL in one place.
Why this matters:
For the workplace: AI workers reduce administrative burdens, freeing employees to focus on creative and strategic work. They also help bridge the generational gap by empowering less-experienced talent to perform at higher levels.
For the AI industry: We eliminate the need to stitch disparate tools together by offering a single unified platform. Everything a business needs is available in one place, ensuring seamless adoption and use but with less hassle.
2. Tailored for Insurance and Banking
We’ve built our AI workers specifically for industries where compliance, precision, and reliability aren’t optional—they are critical.
Our platform, Mainframe, comes equipped with features like:
Self-learning and feedback loops: AI workers improve over time, ensuring continuous optimization.
Confidence scores: Decisions are backed by clear metrics that clients can trust.
Explainability: Every decision made by our AI workers is transparent and auditable.
Audit logs: Meeting regulatory requirements has never been easier.
White glove onboarding: Personalized setup transitions into a self-serve platform for independent AI worker management.
Future-ready companies in insurance and banking are already seeing the value of these capabilities.
Our banking and insurance customer stories showcase the real results we were able to accomplish for our clients.
3. Delivering Outcomes, Not Tools
We’re not here to make AI adoption harder. We’re here to make it seamless. Our intelligent automation using AI Agents is outcomes-focused, delivering measurable results such as:
Boosting revenue by enabling faster, smarter decision-making.
Check out our successful customer stories to learn how we deliver measurable results and help businesses achieve real impact.
Where We Stand Today
2024 has been a year of milestones. As research in this field progresses, we can expect increasingly sophisticated AI workers to collaborate with humans in ways we’ve only seen in science fiction.
Our platform has processed millions of documents, supported thousands of decisions, and saved countless hours for our clients.
We are setting the standard with these key highlights:
1. Real Results
Our clients, ranging from mid-market to Fortune 500 companies, use AI workers to tackle complex workflows like loan processing and underwriting.
Our intelligent automation solutions have cut operational costs by 80% for some clients while driving significant revenue growth.
Cost reduction is just one-third of the value we provide. The bigger impact is revenue growth. Our AI workers enable faster, smarter decisions, helping businesses seize opportunities, streamline workflows, and focus on growth. This efficiency drives higher revenue by prioritizing growth-driven initiatives over routine tasks.
2. Product Unification
There are many AI Agent types with different use cases. What we have done to simplify the entire process is to bring all our AI Agents under the mainframe Agentic AI Platform:
These milestones reflect our dedication to advancing AI technology and its practical applications in transforming complex industry workflows.
Where We Want To Go Next
We’re continuously in a relentless pursuit of knowledge and progress. As we look to 2025 and beyond, we are focusing our roadmap on four key areas:
1. Differentiation Through Education
The AI landscape is crowded and confusing. Our mission is to cut through the noise by educating buyers. We’ll keep demystifying AI through webinars, blog posts, and podcasts.
Our message will remain clear: we deliver AI workers, not fragmented tools.
2. Expanding Self-Serve Capabilities
Currently, we guide customers closely to ensure they see value in under 90 days. This has worked so far; however, we always have the future in mind. The next step is to empower businesses to build and deploy AI workers independently through more self-serve options.
3. Building Strategic Partnerships
Collaboration is key for scaling. We’re partnering with consulting firms to expand the reach and effectiveness of AI workers across industries. Together, we’ll help enterprises achieve faster adoption and greater results.
4. Simplifying the Complex
Our ultimate goal is to make AI simple, intuitive, and hassle-free. Managing dozens or even hundreds of AI workers, from buying to using to maintaining, should feel effortless. We’re not there yet, but every improvement we make brings us closer to that future.
Looking Ahead: Our Vision for 2025 and Beyond
2025 will be about going bigger and bolder. Our experience has shown us that differentiation is hard. For many, scaling AI is harder. But here at Multimodal, we’re not afraid to tackle the tough problems. We’re building a future where AI workers redefine how industries operate—making work simpler, faster, and smarter for everyone.