Buffaly helps you integrate Large Language Models (LLMs) with your software systems to create safe AI Agents.
LLMs, or llamas, are very helpful but they have a tendency to hallucinate. Go kind of crazy. Reply with things unrelated to the prompt asked.
You don’t want that in your business, or your software systems. That’s why Intelligence Factory created Buffaly.
We are not deploying chatbots or a string of ifs. Buffaly provides you with AI agents that will leverage LLMs like ChatGPT or Gemini for your business applications, but will intelligently filter out the nonsense so that your business can perform at a bigger scale.
Buffaly is easily extensible and customizable. Unlike the LLMs, it’s trivial to add new information to the model at any point. We can extend the model using ProtoScript or Language.
You PROGRAM Buffaly.
You PLEAD with a LLM.
Buffaly's an AI that gets language—built from scratch over 20 years to understand any text, not just churn out guesses. It's raw horsepower for turning messy words into clear, usable data. It's an API—plug it into your systems and watch it work. It takes raw text—say, "20-min call, discussed meds"—and spits out structured meaning (AMR) with explanations.
Buffaly is understandable. We can crack it open and see exactly why it interprets language the way it does (and fix it).
Buffaly is extensible. We can add new meaning and new understanding at any time. The system can even help modify itself.
Finally, Buffaly is customizable. It’s completely possible to define entities, actions, and meaning that are only meaningful to a particular domain or business.
Buffaly
LLM
Fast
Slow
Local
Remote
Unlimited Context
128k
Context
Hallucination Free
30% Hallucination
Buffaly gives your company the tools necessary to perform like a much bigger business. Giving you the competitive edge to go toe-to-toe with larger players in your industry.
LLM
Buffaly
Understands Language
Generates Convincing Text
Costs Millions to Train
Can Answer Questions About Everything
Easily Understandable
Can Be Modified and Extended
Adapts to Each Business
Easy to Program
Easy to Integrate
Predictable
Explainable AI means no black-box nonsense—Buffaly shows you how it thinks. Unlike bloated LLMs, it breaks down every call, so you know why it tagged “diabetes talk” or “test ordered.” It’s AI you can trust when it counts.
Buffaly crafts narrow language models (NLMs)—tight, focused AI tuned to your world, like patient notes or compliance logs. NLMs are like writing code for math: design it once (think “if X, then Y”), then it runs lean and fast—no live LLM guesswork eating resources. Buffaly codes language understanding—precise, controlled, built to deliver.
Turns chaos into structured data—every move explained.
Custom ontologies and NLMs—fits your needs, not ours.
Lean runtime—beats LLM waste, saves you time and cash.
Buffaly API—add real language smarts to your platform.
Get clean, usable outputs from medical text—no guesswork.
Buffaly’s built on OGAR—Ontology-Guided Agentic Retrieval—a system that uses structured knowledge to make AI work smarter, not harder. Unlike typical tools that lean on guesswork from large language models, OGAR grounds Buffaly in ontologies like SNOMED-CT and ICD-10, so it understands medical language with precision, not probability.
It’s about retrieval that’s sharp and agentic—Buffaly doesn’t just fetch data, it acts on it, turning text into clear, usable outputs. This approach cuts through the noise of hallucinations and keeps everything in-house—no data leaks to third-party models. For businesses, it means reliable insights and actions from your records, not vague answers.
That’s Buffaly: real control, real results, backed by 20 years of research.
Buffaly digs into clinical notes to spot what matters—here’s how. Take a note like “Patient called about BP, 15-min chat.” Buffaly processes it and outputs: “15 minutes of clinical care, 5 more minutes needed for billable threshold.” It’s checking if the time hits standards for chronic care billing and flags what’s missing—no guesswork, just facts. Large language models (LLMs) can’t touch this—hallucination rates still top 30%, meaning they mess up numbers and math half the time. You can’t trust them to extract “15 minutes” or add 5 more without screwing it up. Buffaly’s ontology-driven precision gets it right, saving you from denials that cost real money.
Clean Up Records: Toss it a messy EHR entry—“Pt has htn, on meds”—and Buffaly delivers a structured output: “Condition: Hypertension, Medication: Lisinopril.” Ready for analytics or system sharing, no clutter.
Check AI Mistakes: Run an LLM-generated report through Buffaly—it catches errors, like mislabeling a condition code, and explains the fix, keeping your claims solid.
Guide Real-Time Decisions: Type a note during a call—“Discussed COPD, 20-min”—and Buffaly confirms it’s billable or flags what’s needed, cutting rework.
Buffaly’s transparency and reliability mean you get paid, stay compliant, and cut the noise—with an API that plugs into your setup.
Buffaly takes chaotic medical text—like “Pt called re BP, med adjusted, feeling better”—and turns it into Abstract Meaning Representation (AMR) syntax:
{Action: Call, Topic: Blood Pressure, Adjustment: Medication, Outcome: Improved}
For development teams, this is gold—it hands you clean, structured data straight from the mess, ready to plug into your systems. No more wrestling with vague LLM outputs that guess wrong half the time—Buffaly’s ontology keeps it tight and accurate. Your team can use the AMR to build analytics tools, sync data across platforms, or prep billing systems without slogging through the original jumble. It’s a fast, reliable handoff—cuts dev time, boosts precision, and lets you focus on building, not cleaning. That’s Buffaly: real structure for real work.
Buffaly lets you build a custom ontology—your rules, your way. Say your team tracks unique patient follow-ups—like “post-call check-in” or “telehealth med tweak”—that don’t fit standard frameworks. With Buffaly, you define those terms, map them to your data, and turn a note like “Pt called, med tweaked, 10-min check-in” into a structured output:
{Action: Follow-Up, Type: Telehealth, Adjustment: Medication, Duration: 10 minutes}
No forcing square pegs into round holes—Buffaly adapts to your setup, not the other way around. This means your billing, reporting, or analytics reflect exactly what you need, not some generic guess. It’s fast—set it once, and Buffaly handles the rest—saving your team from endless manual fixes. That’s Buffaly: precision tailored to your world, no fluff.
Medical data’s a $10B jungle—notes, records, chats, all a mess. LLMs trip over themselves; Buffaly cuts through with precision and transparency. It’s not about one trick—it’s about getting language right across the board, from patient records to research. We’ve cracked $8M problems with this kind of clarity. Real stakes, real results.
Medical data’s a $10B jungle—notes, records, chats, all a mess. LLMs trip over themselves; Buffaly cuts through with precision and transparency. It’s not about one trick—it’s about getting language right across the board, from patient records to research. We’ve cracked $8M problems with this kind of clarity. Real stakes, real results.
Buffaly, as Nurse Amy, aids in remote patient monitoring by reminding readings, troubleshooting devices, and ensuring HIPAA compliance, while seamlessly interfacing with databases and APIs.
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Aaron David automates sales by managing leads, emails, quotes, and shipments, and escalates issues to humans. It handles most contact points and low-revenue orders, allowing humans to focus on high-revenue tasks.
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Buffaly creates custom AI agents to automate tasks, boost efficiency, and improve customer interactions, integrating seamlessly with your systems.
