When the bar is high, experience matters.

We ship production-grade AI solutions under constraints—from data foundations to AI agents—so your teams move faster and your customers are happier.

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Your next big idea is in good company

Partner

2019

AI-only since

150+

Projects Impacted

$72MM

Business Value Created

50+

Companies Supported

You want outcomes. We engineer systems that deliver.

★★★★★

"...Within just three months, Softmax delivered a solution that accurately processes 5,000-page PDFs in only 8 seconds, verifies signatures, stacks documents, and reliably extracts data—even from complex, noisy scanned documents.."

Amit Aggarwal

CTO @ LauraMac

AI is loud. Production is brutal.

Every week there's a new "agent," a new "AI-native" startup, a new promise. Your customers aren't paying for AI. They're paying for outcomes.

The goal isn't "add AI." It's outcomes—lower costs, faster decisions, better CX.

We're the team you bring in to deliver the outcome. We learn your context, build the right system, and hand it off so your team can run it.

WHAT WE SHIP

Two ways we deploy AI that pays for itself

AI Product Features

For software companies

We build AI capabilities directly into your product — so your customers get faster workflows, smarter automation, and a reason to stay.

Examples include:

Document AI — extract, classify, and verify from noisy scans and complex forms
Embedded agents — in-product AI that completes real tasks, not a chatbot demo
Model fine-tuning — domain-adapted models for edge cases prompting can't solve
Custom model training — purpose-built models for your data, deployed on cloud or edge

Internal AI Apps

For operations & leadership teams

We build internal tools powered by AI — so your team spends less time on manual work and more time on decisions that matter.

Examples include:

Agentic analytics — deep agents that surface evidence-backed answers, not dashboards
Reporting automation — unify ads, CRM, and ecommerce into client-ready reports
Workflow automation — eliminate repetitive tasks pulling your team off high-value work

Explore our services →

How we work

Fit call → AI Prototype Sprint (5 days) → Build & Handover

Fit call

We listen first—pain, constraints, what you tried, and what "success" means. If we're not the best fit, we'll point you to the right path.

AI Prototype Sprint (5 days)

Functional app + architecture + milestones + evaluation baseline + ROI model.

Build & handover

Ship into your environment, monitor it, and hand it off so you can run without us.

Our approach →

Featured success stories

Document AI · Custom AI Models

80% cost reduction → Document AI

90% less manual effort → Voice AI · Custom AI Models Enterprise Call Center Confidential $150K saved per year → AI Agent

96% less reporting time → Workflow Automation · Custom AI Models

$6M new ARR generated → Custom AI Models

54% close rate →

View all success stories →

What our clients say

Amit Aggarwal

CTO @ LauraMac

"We needed a Document AI feature capable of analyzing large, complex mortgage documents to assess loan risks. Within just three months, Softmax delivered a solution that accurately processes 5,000-page PDFs in only 8 seconds, verifies signatures, stacks documents, and reliably extracts data—even from complex, noisy scanned documents."

95%Document Processing Precision

80%Operation Cost Reduction

Michael Steel

CEO @ Flywheel Digital

"Softmax's AI Agent project was transformative for us. They moved fast, understood our business, and helped us save tons of time while elevating our brand promise."

95.8%Time Saved on Repetitive Work

12%More Businesses

Collin Stewart

CEO @ Predictable Revenue

"Softmax delivered a bespoke AI solution that transformed our workflow, driving significant gains in both productivity and our NPS. Most impressively, they took us from initial design to full deployment in just four weeks."

4 WeeksFrom Conception to Deployment

15%Productivity Gain

Bite-sized insights

Practical AI knowledge from our engineering team.

SaaS

SaaS at a Junction Point: What we learned building AI in 2025

2025 has been an eventful year for most businesses. Tariff hikes, market volatility, renewed bubble talk—and, inevitably, everything AI. This year, we worked across mortgage, retail, real estate, and marketing—but the common thread wasn’t the industry, it was the economics. We built workflow automation for marketing agencies that lifted productivity by 12%. We deployed AI agents that helped retailers cut inventory costs while increasing turn rates. We consolidated fragmented data and built agen

AI Concepts

A beast with many heads: AI Agents, RAG, MCP, Workflow Automation.....

AI Agents, RAG, MCP, Workflow Automation, and Agent Swarms: What They Actually Mean and When You Need Them Bite-size insights ConceptWhat It IsBest ForThink of It As... Workflow AutomationPredefined steps that run the same way every timeRepeatable, predictable processes with no decision-makingSimiliar preprogrammed steps RAGAsk AI to look up a database and return results in human languagesQ&A, chatbots, and search grounded in your organization's knowledgeA database intake and outpu

AIAgent

Agent Swarm vs Anthropic Workflows vs LangGraph: Which Multi-Agent Architecture Should You Use?

The phrase "Agent swarm" is everywhere right now. But behind the hype, there are fundamentally different approaches. What does it mean? What do I do with it? How can I use it within my context to meet my needs? Here are some of our thoughts: What Is a "Multi-Agent" System? Think of it like a team of specialists instead of one generalist. Single agent: One agent that does research, code, emails, calendar—everything. Multi-agent: A researcher agent, a coder agent, and an assistant agent.....

Fine-Tuning

How to Fine-Tune Kimi K2.5 on Your Local Machine — A Practical Guide

Fine-tuning a 1-trillion-parameter model on consumer GPUs? It's possible — here's how. What is Kimi K2.5? Released January 27, 2026 by Moonshot AI, Kimi K2.5 is the most powerful open-source multimodal model available. It's a 1-trillion-parameter Mixture-of-Experts (MoE) model — but thanks to its architecture, only 32 billion parameters activate per token. Why fine-tune it? The base model already scores 92.3% on OCRBench (beating GPT-5.2), leads in agentic search benchmarks, and matche

Let's Build Great Things Together

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