// Services
AI engineering from research to production.
Twenty-six specific offerings across six disciplines, built by the same team that operates them. No handoff between research and engineering - the people who prototype it are the people who ship it.
26
specific service offerings
6
disciplines under one team
1B+
tokens in production
// Production
Ship ML that scales. Keep it shipping.
Production-grade ML for teams that already have something in front of customers. Inference, agents, observability - built to be operated, not demoed.
Agentic Workflows & RAG
Agents and RAG pipelines that survive contact with production traffic, edge cases, and proprietary data.
5 offerings
Agentic Workflows & RAG
LangGraph Agents
Production LangGraph deployments - state graph design, Postgres checkpointing, observability, and the schema-migration story most teams skip. We build agent systems your team owns end-to-end.
Agentic Workflows & RAG
AWS AgentCore Agents
Production agents on AWS Bedrock AgentCore - runtime, memory, identity, observability, and cost controls. We build agent systems that hold up under real load on AWS infrastructure.
Agentic Workflows & RAG
Enterprise RAG Pipeline
Hybrid retrieval, reranking, and eval-gated iteration. We ship the RAG layer that turns demo answers into production answers - with the dashboard your team watches in real time.
Agentic Workflows & RAG
Agent Evals & Observability
Production agent observability with Langfuse or LangSmith, trajectory evals, LLM-as-judge calibrated against humans, and CI gates that block regressions. We wire the layer your team needs to debug agents and ship changes safely.
Agentic Workflows & RAG
Agent Latency & Prompt Optimization
90–99% cost reductions on production LLM steps. Build the eval first, then grind smaller models, providers, structured outputs, caching, and fine-tuned LoRA specialists. Every change measured against your eval suite.
LLM Observability & Reliability
The boring infrastructure that makes LLM rollouts safe - evals, traces, canaries, regression detection.
4 offerings
LLM Observability & Reliability
LLM Observability & Monitoring
OpenTelemetry GenAI conventions wired into Prometheus, Grafana, Datadog, Langfuse, or LangSmith. Per-tenant cost, streaming-aware latency, alerts that page the right person.
LLM Observability & Reliability
Custom LLM Evaluation Frameworks
Out-of-the-box harnesses (Inspect AI, ragas, lm-eval-harness, promptfoo) carry you to the starting line. Domain-specific golden sets, calibrated LLM-as-judge, and CI deploy gates carry you to production.
LLM Observability & Reliability
LLM Regression Testing & Drift Detection
Diff-based eval, behavior-cluster analysis, semantic equivalence detection, and online change-point detection - catch the prompt edit or vendor model update that silently broke 8% of your traces.
LLM Observability & Reliability
LLM Canary & Shadow Deployment
Staged LLM rollouts with shadow traffic, canary stages, statistical gates (win-rate, paired bootstrap, McNemar's), and auto-rollback wired into Ray Serve / Envoy / LaunchDarkly.
Inference Optimization
GPU-aware serving, batching, distillation, and autoscaling that keeps p99 down and the bill predictable.
3 offerings
Inference Optimization
LLM Distillation & Small Model Training
Teacher-student distillation that cuts inference cost 5-20x with measurable, defended quality regressions - built by a research-first team that ships open-weight models.
Inference Optimization
Triton Inference Server Deployment
Triton Inference Server deployments tuned for multi-framework workloads, dynamic batching, and ensemble pipelines - by engineers who have shipped 1B+ tokens/day.
Inference Optimization
LLM Deployment on Ray Serve
Production Ray Serve clusters tuned for throughput, latency, and cost - built by engineers who put 1B+ tokens/day in front of customers.
// Research
Solve the unsolved, before you commit.
Hands-on ML research from a team with 10+ peer-reviewed publications and 16+ open-source models. We prototype, benchmark, and de-risk - not produce decks.
Custom Fine-tuning
Open-weight fine-tuning that lifts your specific quality bar - preference optimization, LoRA, self-play, synthetic data.
4 offerings
Custom Fine-tuning
Supervised Fine Tuning (SFT)
Hands-on SFT for open-weight LLMs. Axolotl, TRL, Unsloth, LlamaFactory. Full / LoRA / QLoRA on single-H100 to multi-node FSDP. Eval-gated, template-correct, reproducible.
Custom Fine-tuning
Synthetic Data Pipelines
Synthetic training data done right: teacher distillation, self-instruct, evol-instruct, persona-based generation, MinHash dedup, contamination checks, and license-aware provenance.
Custom Fine-tuning
Preference Optimization (DPO / KTO / GRPO)
Hands-on preference optimization. DPO/SimPO/ORPO/KTO when SFT plateaus. GRPO with DAPO patches when only a reward function captures the objective. TRL, Unsloth, Axolotl, VeRL, vLLM rollouts.
Custom Fine-tuning
Reinforcement Learning for Agents
Self-play RL for game-theoretic and multi-agent decision problems. PPO, league play, vectorized JAX environments - built on Jaxpot, our open-source RL framework.
Computer Vision
From proprietary detection datasets to medical-grade and industrial CV - research-grade methods, production deployments.
4 offerings
Computer Vision
Document AI & OCR Pipelines
Document AI and intelligent document processing - invoice OCR, AI OCR, HTR, layout-aware extraction, and key-value pipelines. On-prem when you need it, audit-ready by default.
Computer Vision
Custom Object Detection & Segmentation
Custom object detection and image segmentation - YOLO, RT-DETR, SAM 2, foundation-model labeling loops, edge and on-prem deployment. Trained on your data, shipped to the hardware that runs in production.
Computer Vision
Medical AI & Imaging Computer Vision
Medical imaging AI built as medical device software (SaMD) - DICOM-native pipelines, GPU-resident training (Zarr / cuCIM / Kornia), validation methodology that matches clinical practice, on-prem and air-gapped capable.
Computer Vision
Liveness Detection & Biometric Authentication
Liveness detection, biometric authentication, face verification, deepfake detection, and eKYC pipelines built to ISO 30107-3 - privacy-by-design, on-device or server-side.
Trust, PII & Safety
PII redaction, on-prem and air-gapped deployment, and guardrails for environments where compliance is non-negotiable.
5 offerings
Trust, PII & Safety
PII Redaction & LLM Data Privacy
Multilingual PII redaction at the LLM egress - reversible tokenization, audit logs, and a published EU model that catches the languages Presidio quietly misses.
Trust, PII & Safety
LLM Guardrails & Safety
LLM guardrails for fine-tuned models - prompt injection defense, custom classifier heads, Garak red-teaming, and an eval suite that runs on every change.
Trust, PII & Safety
On-Prem & Air-Gapped LLM Deployment
On-prem and air-gapped LLM infrastructure - signed install bundles, offline model registry, FIPS-validated crypto, SIEM-integrated audit. For environments where data can't leave the network.
Trust, PII & Safety
EU AI Act & GDPR Compliance
EU AI Act compliance and GDPR DPIA for high-risk and GPAI systems. Risk classification, technical documentation, post-market monitoring - by engineers who can read the regulation and the model registry.
Trust, PII & Safety
ISO 42001 AI Management System
ISO 42001 implementation, gap assessment, and audit readiness. We build the AI management system into your engineering loop - the artifacts auditors actually want, evidenced from the pipeline.
// Not sure which one fits?
Tell us the problem. We'll tell you the service.
20-minute scoping call. No deck, no sales engineer - you talk to the team that would actually do the work.
Or write to us hello@bards.ai