We believe Tequity is the best team on the planet for 0→1 founders to build category defining companies and launch.
We understand that the journey to PMF is not linear but full of calculative pivots. Our team of product designers and engineers supercharges your product’s iterative cycles atfounder speed.
Testimonials
Why our partners bet on Tequity for LLM Finetuning success
"Tequity has been a true partner for ChargeZone not just in our product development, but company evolution as well. They rebuilt our entire technology systems on new age software stacks which is enabling us to modernize the electric energy infrastructure globally."
Ravindra Mohan
Director of Strategy and Business
"The team is a very talented full-stack studio. We have engaged with them on several projects and we were always extremely happy with the results. The team takes feedback really well and is aligned with you to make the best possible experience for the end user."
Rohith Salim
Co-founder, Spotdraft
Range of LLM Finetuning Services we offer
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Custom LLM Fine-Tuning
We fine-tune large language models (LLMs) like GPT, LLaMA, and Mistral using domain-specific data to improve accuracy, relevancy, and performance for your unique business needs.
LLM-Powered Chatbot & Assistant Development
Build custom GPT-style chatbots trained on your knowledge base, product data, or internal documents. Ensures accurate, brand-aligned, and context-aware interactions.
LLM Integration into Business Workflows
Integrate LLMs into CRMs, dashboards, or support systems for document summarization, ticket resolution, or internal Q&A. Converts raw data into intelligent assistant capabilities.
Training Lightweight LLMs for On-Device & Edge Use Cases
Compress and finetune smaller models (like DistilGPT, Alpaca) for use in mobile, kiosk, or embedded systems. Useful where cloud latency, privacy, or cost is a concern.
Compliance & Guardrail Layer Design for LLMs
Add custom rules, filters, and behavioral constraints to keep your LLM-based systems safe, compliant, and brand-aligned. Includes prompt shaping, moderation, and fallback mechanisms.
We dive deep into your domain, goals, and current systems to identify where AI can deliver measurable value. This strategic alignment ensures solutions that serve your real needs.
02. Feasibility Study & Solution Architecture
We assess available data, technical viability, and ROI potential. A tailored solution architecture is prepared with model choices, tools, and infrastructure recommendations.
03. Model Design & Development
Based on the scope, we either develop models from scratch or fine-tune pre-trained ones. We iterate rigorously to balance accuracy, speed, and scalability.
04. Product Development & AI Integration
Our frontend/backend engineers integrate the AI with your platform—be it web, mobile, or internal tools. We build intuitive UIs and ensure AI models function seamlessly in real-world environments.
05. Deployment, Testing & Optimization
We deploy to the cloud with scalable infrastructure, run extensive QA and performance tests, and optimize for production. Real-time monitoring and alerts ensure continued reliability.
06. Post-launch Support & AI Iteration
After launch, we track performance, collect feedback, and refine both the AI and UX. You get support in scaling the model, retraining with new data, or expanding features.
METRICS SECTION
When clarity compounds, everything improves
50+
Teams aligned
1500+
Pages rewritten
99%
Strategic clarity
23+
Frameworks applied
contact process
Your work deserves a better framework
Your work deserves more than just execution—we turn complexity into a clear framework.
01
Intro Call
A 30-minute conversation to understand your challenge.
02
Proposal & fit
Clear next steps, scope, and expected outcomes — no jargon.
03
Start working
Direct collaboration with senior consultants from Day One.
industries
Industries that our LLM Finetuning Services excels in
We’ve honed a process that adapts to organizations across multiple Industries
All projects have direct founder oversight. All projects have direct founder oversight. Direct founder oversight. All projects have direct.
Team management ratio
Junior engineer to senior engineer ratio on 1:4. Junior engineer to senior engineer ratio on 1:4. Junior engineer to senior engineer ratio.Junior engineer to senior engineer ratio on 1:4. Junior engineer to senior engineer ratio on 1:4. Junior engineer to senior engineer ratio.
Structure and work flow
Structured development process with deep implementation of JIRA for oversight and monitoring.
AI enabled and forward
AI Enabled Engineering practices for code commenting, quick bug fixing, data queries, test case writing, and other uses.
Code quality and systems
High code quality with internal control systems for architecture design, tech stack selection, algorithm design, code factoring.
Practical clarity on how we work and what comes next.
What is LLM fine-tuning, and why is it important?
LLM fine-tuning involves training a large language model on specific datasets to improve its accuracy, domain expertise, and contextual relevance for targeted use cases.
How long does it take to fine-tune an LLM?
The timeline depends on model complexity and data size, but typically, fine-tuning can take 2-6 weeks, followed by testing and deployment.
What are some common applications of fine-tuned LLMs?
Fine-tuned LLMs power AI chatbots, content generation tools, customer support automation, legal document processing, medical diagnosis support, and more.
Can I fine-tune an LLM with proprietary business data?
Yes! We specialize in training LLMs with private, enterprise-grade datasets while ensuring security, compliance, and data privacy.
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