Generic AI engines aren't built for enterprise use
Relying on generic AI translation tools can quietly damage your brand. They often miss industry terminology, ignore your preferred tone, and create inconsistencies across markets, teams, and channels. The result is rework, slower approvals, and customer-facing copy that feels “off” or even inaccurate. A custom AI translation engine solves this by learning your product language, style guidelines, and approved glossary, then applying them every time. It integrates with your existing content workflow, reduces manual edits, and keeps messaging aligned across regions.
Incorrect or inconsistent industry terminology- Loss of brand tone and messaging
- High post-editing effort and costs
- Data privacy and confidentiality risks
- Inconsistent translations across teams and regions
Introducing Ulatus' Custom AI Engine
Ulatus custom AI translation service built for enterprises. Trained on your data for consistent, secure, high-quality translations with faster turnaround.
Your Language
Translations that reflect your business language
Scalable Consistency
Consistent, scalable output across large volumes
Always Improving
Continuous quality improvement over time
This isn't off-the-shelf Machine Translation—it is AI built exclusively for your organization.
Generic AI vs Ulatus' Custom AI
| Generic | Ulatus |
|---|---|
| Built for general use |
 Built for enterprises |
| Trained on public data |
Trained on your data |
| Generic vocabulary |
Industry and brand terminology |
| Inconsistent output |
Consistent, reusable translations |
| Data shared externally |
Enterprise-grade data security |
| High post-editing effort |
Up to 40% reduced editing effort |
| No reinforced learning |
Continuous Improvement |
Better Quality,
Faster Refinement.
Tailored solutions to meet specific enterprise needs.
60%
Fewer hallucinations compared to standard models.
75%
Reduction in cultural and gender bias flags.
2X
Faster fine-tuning loops.
50%
Improvement in overall translation quality.
Why Ulatus' Custom AI Translation?
Faster Time-to-Market
Translate high volumes of content in minutes—accelerating global launches and updates.
Better Translation Quality
Domain-trained engines deliver more accurate and context-aware translations.
3x Cost Savings
Reduce per-word translation costs for large and recurring volumes.
Brand & Terminology Consistency
Maintain the same tone, terminology, and messaging across all markets.
Secure & Confidential
Your data remains private, protected, and fully owned by you.
On-Premise Capability
Experience the power of Custom AI translation deployed on your trusted servers
Why "Custom" Matters
Understanding the difference between Generic and Adaptive AI.
Generic AI (The Public Bus)
"Think of generic AI translation like a public bus which has pre-defined stops and uses a fixed route."
- One-size-fits-all approach
- Cannot deviate for specific needs
- Predictable but inflexible
Ulatus Adaptive (The Private Car)
"Our Custom AI Translation is like a private, self-learning car that knows your specific destination, takes the most efficient route based on your personal preferences, and learns a better way to get there every time you drive it."
Adapts to your destination (Intent)- Learns your preferred route (Terminology)
- Improves with every trip (RLHF)
We customize general AI to your own writing style, vocabulary, and context. The engine learns industry jargon.
Security & Compliance
Auto-Delete data after
project completion
Your data is permanently deleted on the completion of your project which eliminates the risk of data theft or misuse.
Encryption and
Firewall protected
We store your data only in fully encrypted local servers protected by firewalls.
ISO
Certified Systems
We are ISO/IEC 27001:2022 certified awarded for establishing a robust Information Security Management System (ISMS) that ensures your trust.
GDPR & HIPAA
compliant
Our systems are built privacy first and we meet all popular global privacy standards.
How it works?
STEP 01
Analyze your content & languages
We assess your existing assets, glossaries, and localization goals to build a roadmap.
STEP 02
Train AI models on your data
Your proprietary data is used to fine-tune the engine, ensuring it learns your brand voice.
STEP 03
Linguist fine-tuning & evaluation
Human experts review initial outputs, providing feedback that reinforces the model's accuracy.
STEP 04
Pilot project
A controlled test run on live content to benchmark quality and efficiency against KPIs.
STEP 05
Full-scale deployment
Seamless integration into your workflow for high-volume, automated translation.
STEP 06
Continuous improvement
The engine gets smarter over time as more data is processed and feedback is incorporated.
Success Stories
"The organization and thoroughness that Ulatus brings to the table along with polished professionalism and quality work makes for a great experience. As we continue to expand our globalization of content offerings, we will look to Ulatus for their guidance and expertise."
Recorded Future
"I wholeheartedly believe that the quality of the translation could not have been more perfect. I rarely ever see this level of quality delivered by any language provider worldwide. I want to share my gratitude with all the amazing team members who collectively made this project a great success"
ZENDESK
"The translation successfully transcends regulatory nuances in all languages. We appreciate your service for producing global multilingual versions of our handbook and helping us spread awareness amongst FPIs for investing in India. Overall, we are delighted with your quality and customer care."
BSE and ICCL
Frequently Asked Questions
What exactly is a "Custom LLM" and how does it differ from a standard AI?
A Custom LLM is a generative model that has been fine-tuned to align with your specific business objectives and domain-specific intent. Unlike generic models that provide one-size-fits-all responses, a custom model uses In-Context Learning (ICL) to adapt to your unique terminology and document-level context in real-time.
How do you ensure the AI remains accurate and avoids "hallucinations"?
We implement Reinforcement Learning from Human Feedback (RLHF) to guide the model toward factually correct responses. By using human evaluators to rank outputs, the system learns to recognize when it is uncertain and prioritizes truthful information over fabricated data, resulting in up to 60% fewer hallucinations.
What role does "Human-in-the-Loop" play in the customization process?
Human experts act as a vital reinforcement signal by verifying the accuracy and cultural resonance of the AI’s output. This feedback is incorporated into the model immediately, allowing the system to refine its behavior and never repeat the same error twice.
Is my proprietary data used to train models for other companies?
No. A core pillar of our service is data ownership, meaning when you train your AI, you retain exclusive rights to your data. We utilize secure, encrypted infrastructure—certified to ISO 27001:2013 standards—to ensure your translations and proprietary datasets are never used to train baseline or competitor engines.
Can the system handle complex industries like Legal, Healthcare, or Engineering?
Yes, our models are specifically designed for high-stakes applications where precision is mandatory. By creating task-specific RLHF datasets and implementing domain-specific terminology constraints, the AI can accurately handle technical manuals, legal records, and diagnostic tools in over 100 languages.
How do you measure the success of a Custom LLM implementation?
Success is measured through both technical metrics, such as word prediction accuracy and reduced bias flags, and qualitative business evaluations. We typically begin with a free pilot program to establish a performance benchmark, ensuring the model meets your standards before full enterprise deployment.