Fortune 500 to solo founders.
Track Record
We built the real-time upsell & cross-sell recommendation engine behind a top-20 U.S. insurance company — analyzing three million customer records, serving over a thousand call center reps, and delivering the right offer in under a second. The company credited the system with $80 million in additional premium revenue. That experience is what inspired the platform we run today. The data patterns, the automation layer, and the coordination model were all designed to scale down — so you don’t need a Fortune 500 budget to run Fortune 500 operations.
What we run
Capabilities
Every capability below runs on the same core platform — the same agent infrastructure, the same coordination layer, the same managed operations model. The difference is where we point it. Pick the problem that looks like yours.
Software Development
Your backlog grows faster than you can hire. We build development infrastructure where specifications go in and deployed, tested software comes out — without scaling headcount.
Content Creation
Your content strategy is bottlenecked by production capacity. We publish at the pace your strategy demands — researched, written, optimized, and live on your site — without scaling a writing team.
Paid Media
Your ad spend is limited by how fast your team can produce and test creative. We generate ad copy, images, and video at the pace your campaigns demand — so your budget works harder without scaling your team.
Customer Support
Your support costs scale with your revenue. Ours don't. We run customer support operations where agents handle tickets, resolve issues, and escalate intelligently — without headcount growing alongside volume.
Recruiting
Your recruiters spend most of their time on screening and coordination, not on the conversations that close candidates. We run recruiting operations where agents handle the pipeline so your team focuses on the people who matter.
Sales Automation
Your sales team spends more time prospecting than closing. We run outbound operations where agents handle research, outreach, qualification, and follow-up — so your closers only talk to people who are ready to buy.
Data Activation
Your CRM, billing system, and account data already know which customers are ready to buy more, which are about to leave, and which reps are outperforming. We turn that data into a daily action list your team can use.
Market Research
Your competitors are shipping, your market is moving, and you're finding out about it on Twitter. We run continuous competitive intelligence and market analysis so you can make decisions based on what's actually happening — not what you happened to notice.
One infrastructure. Every capability.
Our Approach
The same engine powers every capability on this page — software development, content, sales, support, recruiting. We don’t license it as SaaS. We deploy it inside your operation and run it with you. That’s why our pricing is tied to outcomes, not seats. If the system doesn’t produce results, we don’t get paid.
Book an AssessmentCrafting the future and driving innovation
Our Work
01
Professional Services
We embed with your team, map every manual process and data gap, and build the systems that automate operations and activate the data you already have — fully managed, outcome-priced.
02
Strategic Acquisitions
United Algorithmics employs a strategic acquisition model centered on the acquisition of stable, niche SaaS businesses that are often overlooked by other investors.
03
Venture Accelerator
United Algorithmics operates a venture accelerator model aimed at partnering with promising, niche SaaS startups that align with our expertise in innovation and automation.
04
In-House Product Incubator
United Algorithmics in-house startups are born from the insights and innovations generated by our Research and Innovation Lab. We identify emerging market needs and develop solutions that are both innovative and commercially viable.
05
Private Equity Fund
United Algorithmics manages a Private Equity Fund that provides capital and expertise to high-growth technology companies, including those from our Strategic Acquisitions, Venture Accelerator, and In-House Product Incubator.
06
Research and Innovation Lab
The United Algorithmis Research and Innovation Lab is a proposed a 100,000-square-foot facility located within a 100-acre area of preserved forest. Currently the research lab is focused on AI, digital innovation, and business automaton, operating remotely with securely colocated compute.
The Algorithmic Edge: Driving Innovation in AI, Business, and Strategic Technologies
Research Blog
Understanding LLMs through Monosemanticity
The Scaling Monosemanticity paper by Anthropic demonstrates how sparse dictionary learning can extract interpretable features from large language models like Claude 3 Sonnet, allowing researchers to control and steer model behavior by manipulating specific features. This research enhances AI interpretability, offering new tools for model fine-tuning and safety by revealing how individual neuron activations correspond to human-interpretable concepts
Train-of-thought modeling with RL
Reinforcement learning offers a compelling framework to guide LLMs in tackling multi-step reasoning tasks, encouraging models to make deliberate, goal-oriented decisions across several computation steps. By continuously refining the LLM’s process and guiding it through structured feedback, RL can enable more reliable and interpretable AI systems capable of solving complex problems, generating coherent long-form content, and engaging in meaningful multi-turn dialogues.
Probabilistic Ontology-Driven Multi-Agent Systems (pODMAS)
Our Probabilistic Ontology-Driven Multi-Agent System (pODMAS) uses Gaussian Mixture Models (GMMs) to represent entities, relationships, and interactions, evolving over time through online learning and bitemporal tracking. This blog explores the architecture, challenges, and innovations behind creating dynamic, adaptive systems that capture complex temporal and relational dynamics in various domains.
