// Services
AI engineering from research to production.
25 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.
25
specific service offerings
6
disciplines under one team
400B+
LLM tokens processed 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
Flagship
LangGraph Agents
Postgres checkpointing, recursion budgets, and eval gates that keep LangGraph agents alive under real traffic - on your infra, operated by your team.
- MemorySaver shipped to production
- Recursion runs out before the workflow does
- Schema change is a production migration
AWS AgentCore Agents
Agents that stay inside your AWS account - Bedrock models, your IAM perimeter, AgentCore runtime - with cost controls in place before the bill surprises anyone.
Enterprise RAG Pipeline
Your demo answered 30 questions; customers ask question 31. Retrieval, evals, and regression gates that catch it before they do.
Agent Evals & Observability
Traces and evals that tell you whether retrieval missed, the model hallucinated, or a tool broke - and page someone when it matters.
Agent Latency & Prompt Optimization
Eval-first cost work: smaller models, caching, structured outputs. 60-85% cost cuts and 50-80% latency cuts, each shipped with a measured delta.
LLM Observability & Reliability
The boring infrastructure that makes LLM rollouts safe - evals, traces, canaries, regression detection.
4 offerings
Flagship
LLM Observability & Monitoring
Per-tenant cost attribution and streaming-aware latency (TTFT, inter-token) in the Grafana, Datadog, or Langfuse stack you already run.
- Cost attribution is a week of log diving
- Latency dashboards lie about user experience
- Cost spikes page the on-call after the fact
Custom LLM Evaluation Frameworks
Golden sets built from your domain and LLM judges calibrated to 85-95% human agreement, wired into CI as a deploy gate.
LLM Regression Testing & Drift Detection
A prompt edit silently breaks 8% of traces. Diff-based paired evals and drift detection catch it before customer support does.
LLM Canary & Shadow Deployment
Shadow traffic, canary stages with statistical gates, and auto-rollback - a bad prompt change reverts in 30 seconds.
Inference Optimization
GPU-aware serving, batching, distillation, and autoscaling that keeps p99 down and the bill predictable.
3 offerings
// 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
Flagship
Supervised Fine Tuning (SFT)
Reproducible fine-tuning with correct chat templates and eval gates - a QLoRA 7B on 50K examples lands in 12-24h and $30-60 of compute.
- Wrong chat template, silently degraded model
- LoRA targeting only attention, not MLPs
- Hyperparameters by folklore
Synthetic Data Pipelines
Teacher distillation plus the part that matters: dedup, reward-model filtering, and contamination checks that discard the 80% of synthetic data that would hurt you.
Preference Optimization (DPO / KTO / GRPO)
DPO, KTO, or GRPO chosen by your data shape - for the quality bar SFT alone can't reach.
Reinforcement Learning for Agents
PPO with self-play leagues on JAX - thousands of parallel environments per GPU for games and multi-agent decision problems.
Computer Vision
From proprietary detection datasets to medical-grade and industrial CV - research-grade methods, production deployments.
4 offerings
Flagship
Document AI & OCR Pipelines
Layout-aware extraction, line-item invoice parsing, and handwriting - 98% field accuracy at under 300ms per page, deployable in your VPC.
- Hosted services fail quietly on your actual document mix
- Table extraction fails exactly where the value is
- The compliance team needs a data residency answer you can't give yet
Custom Object Detection & Segmentation
Detectors for your objects, viewpoints, and occlusions, labeled with foundation-model loops - 0.91 mAP on an A100 or 30 FPS on a Jetson.
Medical AI & Imaging Computer Vision
DICOM-native pipelines and validation methodology a journal would publish, deployed inside the hospital VLAN.
Liveness Detection & Biometric Authentication
ISO 30107-3 passive liveness and face verification - over 99% attack rejection at 1-3% false rejection, 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
Flagship
PII Redaction & LLM Data Privacy
Neural PII detection in 20+ languages with reversible tokenization and audit logs - the LLM never sees what it doesn't need.
- Presidio is English-first
- Regex misses the long tail
- Reversibility is an afterthought
LLM Guardrails & Safety
We measure where Llama Guard drops on your fine-tune, train custom classifier heads that answer in under 10ms, and red-team both chat and agent surfaces.
On-Prem & Air-Gapped LLM Deployment
Signed install bundles, an offline model registry, and FIPS-validated crypto - deployment finishes the same day the network is sealed.
EU AI Act & GDPR Compliance
Risk classification, technical documentation, and post-market monitoring produced from your CI/CD - in place before the August 2026 deadline.
ISO 42001 AI Management System
Gap assessment, Annex A controls, and evidence collection wired into your pipeline - an AIMS that survives year-two surveillance audits.
// 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