LLMs and agent frameworks
Claude, GPT, Gemini and open models; LangGraph, Temporal and MCP for orchestration.
Services
Technology Stack
Best-in-class, model-agnostic stacks — chosen for reliability, security, and time-to-value in the enterprise.
- 25+production deployments across the stack
- 0vendor resale incentives shaping advice
- 100%choices justified in writing
Capabilities
The stack, chosen honestly
The models, clouds, frameworks and tooling we use to build production AI systems.
Cloud and Kubernetes
AWS, Azure and GCP with Terraform, ArgoCD and GPU-efficient serving.
Vector and data platforms
Pinecone, pgvector, Elasticsearch, Snowflake and Databricks — fitted to workload.
Eval and observability
Braintrust, LangSmith, OpenTelemetry and Datadog wired into delivery.
How we choose
Opinions, held accountably
Every technology choice we make is benchmarked on your workload, justified in writing and reversible by design. No badge-collecting, no resale margins.
Models
Multi-model by default
Frontier models where quality demands it, open models where volume or residency wins — behind a routing layer that keeps every choice swappable as the market moves monthly.
- Per-task selection driven by your evals
- Routing and failover across providers
- Self-hosted options for sensitive workloads
Incoming taskcomplex reasoning · 12k ctx
Router
Claude Sonnetquality-critical
GPT-4.1fallback
Llama 70Bhigh volume · low cost
FailoverA/B evalsCachingBudgets
Infrastructure
Cloud-native, cloud-agnostic
Kubernetes, infrastructure-as-code and GitOps across all three majors — so your AI estate follows your cloud strategy instead of dictating it.
- One operational pattern across AWS, Azure, GCP
- GPU serving tuned for utilization
- Everything reproducible from versioned code
Private VPC
GPU poolAutoscaleMulti-AZ
AWSAzureGCPOn-prem
Quality tooling
The instruments that keep us honest
Eval harnesses, tracing and cost observability aren't optional extras in our stack — they're how every other choice gets validated and every regression gets caught.
- Eval tooling wired into CI on every project
- OpenTelemetry-native tracing end to end
- Cost attribution as a first-class signal
Groundedness
96%
Safety
100%
Task success
93%
Tone & format
91%
CI gate passedrelease promoted to production
Use cases
Stack decisions we help make
Model selection
Benchmarked on your tasks, not leaderboard vibes.
Vector store choice
Fitted to scale, filters and ops reality.
Orchestration framework
LangGraph vs. Temporal vs. custom, argued honestly.
Cloud placement
Workloads mapped to the right provider and region.
Build vs. buy
Platform components rented or owned deliberately.
Migration planning
Stack changes sequenced without breaking production.
Delivery
How we engage
Flexible models — from strategy sprints to dedicated pods — with clear phases, quality gates, and ownership through production.
- Clear delivery process
- Senior engineering talent
- Security built in
- Long-term capability transfer
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1
Align
Goals, constraints, success metrics and stakeholders.
-
2
Design
Architecture, delivery plan and risk controls.
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3
Deliver
Build, integrate, harden and launch.
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4
Operate
Monitor, optimize cost and continuously improve.
FAQ
Common questions
Why these tools and not others?
Because they've survived our production deployments — and the list changes when evidence does. Every recommendation comes with the reasoning and the benchmarks, so you can challenge it.
Are you partners with these vendors?
We hold cloud certifications but take no resale margins — our advice has no commission attached, which is rarer than it should be.
Can you work with tools already in our stack?
Yes — we extend what works and only propose replacement when the gap is material and measured. Migrations need better justification than novelty.
How do you keep up with the pace of change?
Continuous benchmarking on live projects, and a routing-layer architecture philosophy that makes new options adoptable in days — so churn becomes opportunity, not risk.
Next step
Get stack advice without an agenda
Bring your architecture questions — we'll answer with benchmarks and reasons, not partnerships.