End-to-End LLM Finetuning Services

Services

End-to-End LLM Finetuning Services

AI solutions

From data strategy to production-grade LLMs

Your shortcut to domain‑adapted LLMs that ship faster, perform better, and stay compliant.

Faster Scaling. Guaranteed Compliance.

We provide a turnkey finetuning pipeline that covers data strategy, secure curation, hyperparameter sweeps, RLHF, and red‑teaming, so your team can move from PoC to production in weeks, not quarters.

End-to-End Fine-Tuning Pipeline

One partner from gap analysis to on‑demand inference endpoints.

Enhanced Reasoning

Up to 30‑50 % lower perplexity and task‑level error rates in target domains.

Compliance & Security First

SOC 2‑ready processes, on‑prem or VPC‑isolated labs, and audit trails baked in.

LLM FINETUNING Services

Baseline Evaluation & Gap Analysis

Rapid benchmark sweep on HELM, Big‑Bench, and custom tasks to profile strengths, weaknesses, and latency.
Token‑level perplexity heat‑maps highlight domains needing attention.
Action plan with target metrics and data slice requirements.

Dataset Preparation & Augmentation

Domain‑specific extraction from licensed corpora plus self‑instruct synthetic prompts.
Automated PII masking & SPDX license checks keep every sample compliant.
Versioned shards in LakeFS/DVC ensure reproducible training runs.

Hyperparameter Optimization & Scalable Training

LoRA / QLoRA adapters (NF4, 4‑bit) for cost‑efficient updates.
Optuna + Population‑Based Training sweeps LR, warm‑up, rank, context window.
DeepSpeed ZeRO‑3 distributed across Kubernetes‑managed H100/A100 clusters.

RLHF & Safety Finetuning

Pairwise rankings scored with Elo to train reward models.
PPO with KL penalty keeps outputs aligned to base behaviour.
Adversarial red‑teaming reinforces safety filters and jailbreak resistance.

Evaluation & Benchmarking

Automated regressions on HELM, MMLU, TruthfulQA, plus bespoke domain suites.
Bias/fairness probes (HolisticBias, CrowS‑Pairs) integrated into CI.
Explainability dashboards using Attention Rollout & Integrated Gradients.

Quantization, Deployment & MLOps

AWQ / GPTQ 4‑bit quantization for 3‑6× throughput gains.
Triton or vLLM with Flash‑Attention 2 behind API Gateway.
Terraform + Helm charts for EKS/GKE/on‑prem GitOps deployments.

Continuous Monitoring & Refresh

Drift detection (embedding cosine, KL divergence) with PagerDuty alerts.
Airflow‑scheduled micro‑tunes merge incremental LoRA deltas.
Quarterly compliance audits & pen‑tests baked into contract SLA.

Compliant by Design Secure LLM Finetuning for Financial Analytics

A fintech startup builds a platform that helps financial institutions analyze large volumes of textual data, such as regulatory filings, earnings reports, and client communications, using advanced language models. Its business model is a B2B SaaS: clients subscribe to analytics platform, which differentiates itself by prioritizing data security and regulatory compliance from day one.

READ CASE STUDY

100

happy clients
worldwide

9

years
in the industry

90

average customer
satisfaction score

fortune 10

and FAANG are
our clients

AI/ml Engineering Capabilities

Model Evaluation & Benchmarking

Multimodal AI

Text, Vision, Speech, Video

LLM Advanced Reasoning

Chain-of-Thought, Tree-of-Thought

LLM Trust & Truthfulness

Fact-Checking, RAG

LLM Fine-Tuning & Customization

LLM API Integration & Function Invocation

Computer Vision

Object Detection, Image Segmentation, OCR, Video Analysis

Predictive Analytics & Time-Series Forecasting

AI Model Safety & Alignment

Graph Machine Learning & Knowledge Extraction

Recommendation Systems & AI Personalization