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> Custom Model Development
Generic Models Are Smart. Yours Should Be Brilliant.
Enterprise AI demands reliability. We build precision-tuned LLMs and custom architectures that stay accurate—even when the pressure’s on.
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Why Off-the-Shelf Doesn’t Cut It
Out-of-the-box = out-of-its-depth (for your use case)
Workflow Automation
What It Solves
Manual operations lead to inefficiency, bottlenecks, and hidden costs—hurting both speed and margins.
Why Us
We design intelligent systems that go live in 30–45 days, delivering real AI ROI from day one.
AI Staffing
What It Solves
AI roadmaps stall without the right talent—delays, overhead, and opportunity cost compound fast.
Why Us
Access top-tier, pre-vetted AI professionals in weeks—aligned to your needs, ready to execute.
AI Upskilling
What It Solves
Underused tools = sunk cost. Teams struggle to engage with AI without role-relevant training.
Why Us
Audit-backed, hands-on training built around your workflows—so adoption sticks and scales.
AI CTO-as-a-Service
What It Solves
No strategic AI direction leads to fragmented projects and wasted spend.
Why Us
Gain fractional leadership that aligns every build to business goals—without hiring overhead.
Custom Model Development
What It Solves
Off-the-shelf tools often misfire—lower accuracy, limited relevance, and poor return on data assets.
Why Us
We fine-tune models on your proprietary data—API-ready, scalable, and built for your context.
QA & Audits
What It Solves
Without trust, AI stalls. Unchecked models risk bias, errors, and compliance exposure.
Why Us
Our rigorous QA ensures robustness, transparency, and governance—built into every deployment.
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Challenge
Low accuracy in regulated sectors
Why It Matters
Generic models fail in finance, healthcare, and law
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Challenge
Data privacy gaps
Why It Matters
Hosted APIs can’t guarantee compliance
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Challenge
Inflexibility
Why It Matters
Can't customize behavior or update for edge cases
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Challenge
Lack of control
Why It Matters
You depend on third-party roadmaps, not your own priorities
What We Offer
Custom model development & fine-tuning
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We evaluate whether you need fine-tuning, few-shot prompting, or a custom model from scratch.
From sourcing to annotation, we handle everything unless your data is proprietary.
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Transformer-based LLMs, multimodal models, retrieval-augmented generation, and more—production-ready.
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Robust testing (accuracy, bias, latency), CI/CD pipelines, scalable hosting, post-launch fine-tuning.
Our Process
Structured like consulting. Fast like a startup.
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Strategy & Planning
Align on goals, constraints, and the best modeling approach
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Data & Ops Setup
Prepare clean, labeled, and scalable data infrastructure.
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Model Build & Test
Develop and rigorously test models for accuracy and reliability.
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Launch & Optimize
Deploy and continually refine—because models need maintenance.
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Strategy & Planning
Align on goals, constraints, and the best modeling approach
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Data & Ops Setup
Prepare clean, labeled, and scalable data infrastructure.
Model Build & Test
Develop and rigorously test models for accuracy and reliability.
Launch & Optimize
Deploy and continually refine—because models need maintenance.
Why Magentic?
We're not here to just help you explore AI, we also want to ship it with you!
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Built for the Real World
Your model won’t live in a lab. Neither do we.
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Full-Stack, Zero-Fluff
From infra to inference, we’re allergic to half-measures.
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Speed Without the Sloppiness
Go-live in 30–45 days. That’s not a typo.
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Enterprise-Native
SOC2? GDPR? We speak fluent compliance (begrudgingly, but fluently).
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Proof It Works
Recent Wins
Leading Fintech
Risk Modeling
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Accuracy ↑ by 38% vs. GPT-4 baseline
Healthcare SaaS
Clinical Summarizer
HIPAA-compliant LLM deployed in 21 days
Logistics Giant
Demand Forecasting
Model reduced lost shipments by 24%
Still On the Fence?
Let’s be brutally Honest.
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Every month you delay is a model your competitor trains.
OpenAI doesn’t care about your niche use case. We do.
The real risk? Doing nothing.
Real Stories. Real Impact.
Lucas Hawthorne
VP Product, Healthcare SaaS Provider
“They delivered a HIPAA-compliant clinical summarizer in 21 days. Legal cleared it, doctors loved it, patients never noticed a thing.”
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Ethan Caldwell
COO, Global Logistics Group
“Since rollout, mis-routed shipments are down 24 %. That’s real margin back on the books”
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The 2025 Guide to Enterprise LLMs
Red flags to spot early
The 3 traits of high-ROI engineers
How to test for more than “AI interest”
Build Your Custom
Model Now
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