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Turn Your Data
Into a Proprietary AI Model

Custom-trained Small Language Models built exclusively on your data.
Higher quality, lower costs, and faster than generic LLMs.
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Trained on YOUR Data

Not generic internet content—your terminology, style, and quality standards
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10x Faster Inference

Powered by our Tiri framework for speed and cost efficiency
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From $10K, Deployed in 8-12 Weeks

Production-ready custom models without enterprise AI budgets
See SwiftBridge Case Study ↓
Start Your Discovery Call
Download Technical Overview

Trusted by [X] companies

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[X]M
tokens trained
[X]%
average quality improvement
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Generic LLMs

Trained on generic internet data

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Inconsistent terminology

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Requires extensive post-editing

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One-size-fits-all approach

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High inference costs

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Custom Models (Supercharger)

Trained on YOUR proprietary data

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Learns your specific vocabulary

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Meets your quality standards from day one

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Built for your exact use case

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Optimized for cost and speed

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Large Language Models are powerful, but they weren't trained on YOUR data,
terminology, or quality standards. This leads to generic outputs, costly
manual corrections, and missed opportunities. Supercharger changes that. We build Small Language Models trained exclusively on your data—creating an AI that understands your world.

From Your Data to
Your Competitive Advantage in 3 Steps

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ANALYZE & PREPARE

  • We audit your data
  • Curate training set
  • Curate training set

Timeline: 2 weeks

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TRAIN YOUR MODEL

  • Select optimal model
  • Train on your data
  • Test & evaluate

Timeline: 4-6 weeks

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DEPLOY & OPTIMIZE

  • Secure API integration
  • Performance monitoring
  • Continuous refinement

Timeline: Ongoing

View Technical Details
MODEL ARCHITECTURES:
• Base models: [List specific models - GPT-based, T5, custom SLMs]
• Training methodology: [Supervised fine-tuning, LoRA, RLHF, etc.]
• Supported languages: [List]
‍
TRAINING SPECIFICATIONS:
• Base tier: Up to 2M tokens
• Pro tier: Up to 5M tokens
• GPU hours: Optimized per model size
• Evaluation metrics: BLEU, METEOR, custom quality scores
‍
DEPLOYMENT OPTIONS:
• Cloud hosting (AWS, Azure, GCP)
• On-premise deployment available
• API: REST, webhooks, batch processing
• Latency: <500ms average (depending on model size)
‍
SECURITY & COMPLIANCE:
• SOC 2 Type II certified
• GDPR compliant
• Data encryption at rest and in transit
• Your data never used to train other models

See how Supercharger works in 90 seconds

Case Study

SwiftBridge:

From 0 to 1,000+ Translations/Month in 6 Months
In April 2025, the Tokyo Stock Exchange mandated that all TSE-listed companies publish investor relations content in both Japanese and English.

THE CHALLENGE

Traditional translation services were:
  • Too slow (weeks per document)
  • Too expensive (¥500K+ per year)
  • Inconsistent quality for financial terminology

THE SOLUTION

Straker built Tiri-J, a custom SLM trained specifically on:
  • Financial terminology
  • TSE formatting requirements
  • Japanese→English nuances for investor communications
Deployed as SwiftBridge platform in 8 weeks.
95%
Quality Score (vs. 72% generic)
10x Faster
Than Manual Translation
1,000+
Docs/Month processed

"[Company Name], TSE-listed manufacturer, reduced translation costs by 80% while improving consistency across all investor materials."

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Download SwiftBridge Case Study (PDF) ↓
Use Case

Built for High-Value, Specialized Content

TRANSLATION & LOCALIZATION

Reduce post-editing time by training models on your translation memory,
terminology databases, and brand style guides.
Ideal for: Global enterprises, manufacturing, e-commerce

INTELLIGENT CUSTOMER SUPPORT

Deliver more accurate, context-aware responses by training on your
support ticket history and knowledge bases.
Ideal for: SaaS, telecommunications, financial services

DOCUMENT INTELLIGENCE

Automate analysis of financial reports, patents, or legal documents
with models trained on your specific formats and language.
Ideal for: Legal firms, investment funds, IP consultancies

Powered by Tiri:
Our Specialized SLM Framework

Tiri is Straker's proprietary Small Language Model framework, designed for one thing: specialist performance in high-stakes domains like translation, compliance, and technical communication.
Unlike generic Large Language Models trained on everything, Tiri models are:

Smaller (faster, cheaper to run)

Domain-specific (higher accuracy)

Privacy-focused (your data stays yours)

Learn more about Tiri technology →

Two Tiers. One Goal: Your Competitive Advantage.

Basic plan

$10,000
Best For:
  • Single use case
  • Moderate data volumes
  • Straightforward training requirements
Up to 10 hours of expert consultation
Training on up to 2 million tokens
Model selection and training
Standard evaluation reporting
API integration support
3 months post-deployment support
Start with Base
Most popular plan

Pro Tier

$25,000
Best For:
  • Complex use cases
  • Large data volumes
  • Mission-critical applications
EVERYTHING IN BASE, PLUS:
Training on up to 5 million tokens
Advanced hyperparameter tuning
Detailed evaluation & benchmark report
Comparison of 3 foundational models
Extended consultation (20+ hours)
6 months post-deployment support
Start with Pro

Available Add-ons:

Additional training data: $X per million tokens

Ongoing retraining: $X/month

Dedicated support SLA:

Contact us

On-premise deployment:

Custom Quote
Getting Started Process
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DISCOVERY CALL

Week 1:

  • Understand your goals
  • Assess data readiness
  • Define success metrics
  • Get detailed quote
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TRAIN YOUR MODEL

Weeks 2-8:

  • We prepare your data
  • Train your model
  • Test and evaluate
  • Refine until ready
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DEPLOYMENT

Week 9+:

  • Secure integration
  • Performance
  • Go live
  • Continuous
    optimization
Schedule Discovery Call

Frequently asked questions

Everything you need to know about the Supercharger Custom Model Creation service
GETTING STARTED
What information do I need to supply to get a comprehensive quote?
We've put together a guide which will help you gather the information we need. Download it here.
How much data do we need to prepare?
The ideal amount of data is highly dependent on the complexity of your domain and desired model performance. In general, more data typically leads to better results, but a well-curated smaller dataset can also yield excellent performance. Recent internal work has focused on this balancing act; a few million well-chosen segments may be sufficient.
What's the typical timeline from start to deployment?
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TECHNICAL DETAILS
What model architectures do you support?
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How does training handle industry-specific terminology?
The training process effectively handles industry-specific terminology. We incorporate your specialized vocabulary through several methods: providing domain-specific training data, using prompt engineering techniques to guide the model's understanding of your terminology and fine tuning the model to achieve optimal performance on your data.
What are the hosting requirements?
Hosting requirements vary considerably based on anticipated usage levels. We'll work with you to design a scalable infrastructure to meet your specific needs and budget constraints, and you will likely require an extensive consultation with our engineering team.
How does API integration work?
We also work with standard APIs, making integration straightforward.
PRICING & SUPPORT
What size model fits within the $10K budget?
A $10,000 budget is sufficient for a model of moderate size (several hundred thousand data segments), given our efficient training processes. The exact model size will depend on data volume and complexity.
Does 400 GPU hours cover the full process?
The 400 GPU hours is an estimate. The actual requirement will vary considerably depending on the selected model, data size, and training methodologies. We typically optimize the training process to minimize compute costs, but unforeseen issues can lead to resource adjustments.
What are the ongoing inference costs?
Ongoing inference costs depend heavily on the volume of requests and model complexity. We can provide more precise estimates after assessing your projected usage patterns.
How does support work after initial training?
Yes, you can try us for free for 30 days. If you want, we’ll provide you with a free, personalized 30-minute onboarding call to get you up and running as soon as possible.
PERFORMANCE & OPTIMIZATION
What kind of response times are typical?
Typical response times depend on various factors, including model size, network latency, and request complexity. We strive to provide fast and efficient responses tailored to your application's needs.
Can the model be improved over time?
Yes, there's flexibility to continuously improve the model. We incorporate continuous retraining and updates into our service agreements to ensure the model remains accurate and performs at its peak.
How do you measure quality improvements?
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Ready to Build Your Competitive Advantage?

Transform your proprietary data into a custom AI model that delivers
higher quality, greater consistency, and measurable ROI.
See SwiftBridge Case Study ↓
Start Your Discovery Call