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Services
Fine Tuning
Domain-tuned models on your data—accurate, measurable, and safe to run in production.
We fine-tune and evaluate models for real business use cases—custom embeddings, RAG pipelines, and guardrails with full observability.
- Fine-tuning on private datasets for domain accuracy
- RAG pipelines with hybrid search and verifiable context
- Evaluation harnesses for quality, latency, and cost
- Secure training and inference with audit-ready logs
Fine-Tuning & Embeddings
Custom training on private datasets so models speak your domain—legal, edtech, e-com, and more.
- Domain-tuned LLMs with fine-grained embeddings
- Dataset prep, cleaning, and labeling workflows
- Open-source and commercial model options
- Version-controlled model artifacts and rollbacks
RAG & Retrieval Pipelines
Hybrid search pipelines that make your model context-aware and verifiable.
- Vector stores with hybrid keyword + semantic retrieval
- Chunking strategies tuned for your document types
- Citation and grounding for lower hallucination risk
- Prompt optimization with regression test loops
Eval, Cost & Security
Train and ship with telemetry—accuracy, cost, and compliance aren't afterthoughts.
- Evaluation for accuracy, latency, and token cost
- Smart caching and response throttling
- Encrypted vector stores and isolated environments
- Audit-ready model usage logs and RBAC
Build AI that learns, generates, and delivers.
We design and fine-tune models that serve real business use cases. Our approach blends open-source LLMs, custom embeddings, retrieval pipelines, and prompt optimization with full observability. Every system runs in controlled environments with cost monitoring, token analytics, and guardrails for reliability.
Benefits
Fine-Tuned for Context
Custom training on private datasets for relevance and precision.
Retrieval-Augmented Generation
Hybrid search pipelines that make your model context-aware and verifiable.
Cost and Token Control
Smart caching, response throttling, and token budget tracking built in.
Secure AI Lifecycle
Encrypted vector stores, isolated environments, and audit-ready model usage logs.
Why Choose Nextrike
| Industry Challenge | How We Solve It |
|---|---|
| Off-the-shelf models lack accuracy | We build domain-tuned LLMs with fine-grained embeddings and RAG layers. |
| Hard to measure AI ROI | Built-in analytics and telemetry dashboards for latency, cost, and accuracy. |
| Prompt drift and hallucination | Reinforcement learning with rule-based prompt testing and validation loops. |
| Model updates break pipelines | Version-controlled deployments with automated regression benchmarks. |
| Security and compliance risks | Dedicated VPC setups, role-based access, and full data encryption in motion and at rest. |
| Lack of technical transparency | Every model and pipeline reviewed by our AI Lead and CTO for architecture and safety. |
Make AI part of your core system.
Let's build intelligent infrastructure that performs.