Sython AI Services
LLM engineering services for reliable systems
We help teams turn LLM prototypes into measurable, governed systems. Work is scoped around observable quality, latency, cost, security, and rollout gates.
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.
How engagements are scoped
- Define the target behavior, failure modes, and acceptance metrics before architecture work.
- Benchmark the simplest viable path before adding fine-tuning, agents, or complex routing.
- Ship with release gates, observability, rollback criteria, and ownership boundaries.
Ready to improve your LLM stack?
We help teams move from demos to measurable business outcomes with robust quality, latency, and cost controls.