Sython AI Services
LLM Development and Optimization Services
We help organizations design, tune, evaluate, and operate LLM systems. Work spans architecture, retrieval, fine-tuning, model routing, serving optimization, and release gates. Choose a service area below for implementation examples, stack options, and delivery models.
For enterprise deployments we align on data handling and PII boundaries, retention limits, traceability for audits, and provider or model routing controls so governance requirements are explicit before rollout.
When unit economics or latency dominate, we benchmark compression and reuse paths such as distillation, prompt caching, smaller models, batching, and serving-engine choices.
Service areas
Fine-tune LLMs with supervised tuning, preference alignment, LoRA/QLoRA, and provider-managed APIs when they fit.
Improve LLM behavior with preference data, reward modeling, and policy optimization under strict evaluation gates.
Build retrieval, hybrid search, and context-augmented generation systems with release-ready evaluation and vector-store choices.
Evaluate LLM and RAG quality with benchmark suites, automated scoring, human calibration, and CI release gates.
Specialize LLM systems for domain workflows with tool use, prompt orchestration, hybrid routing, and ongoing quality-cost optimization.
Private LLM systems for banks, credit unions, insurers, and fintechs with control mapping and evidence-ready safeguards.
Private LLM systems for agencies, defense programs, and contractors with control mapping, ATO evidence, and approved hosting boundaries.
Add prompt-injection defenses, PII handling, moderation, grounding checks, and policy gates to deployed LLM systems.
Build tool-using AI workflows with bounded autonomy, traceability, approval gates, and release evaluation.
Ready to improve your LLM stack?
We help teams move from demos to measurable business outcomes with robust quality, latency, and cost controls.