Services Built for
the Intelligence Era
From autonomous AI agents and secure cloud infrastructure to real-time data pipelines, every service is engineered for production, scale, and measurable ROI.
What We Build & Deliver
Five service lines, ordered by depth. Every one has a delivered engagement behind it.
Agentic AI Engineering
Multi-agent systems on Google ADK, MCP servers, and the evaluation, guardrails and cost controls that make them safe to run in an enterprise. Built for production, not demos.
- Multi-agent systems on Google ADK
- MCP servers & tool connectors
- RAG and retrieval platforms
- Evals, guardrails & observability
- LLM cost control & model routing
Engagement: 16-week production agentic AI delivery, architect-led, fixed outcome.
Learn MoreProof: AnchorOps AI: AgentForgeData Platform Engineering
The data foundation underneath the AI. BigQuery warehouses and lakehouses, streaming pipelines, and the modelling layer that makes reporting a by-product of a governed pipeline instead of a manual exercise.
- BigQuery warehouse & lakehouse
- Real-time CDC & streaming pipelines
- Modelled transformation layer
- Data quality, lineage & governance
- Looker & Looker Studio reporting
Engagement: 12–20-week platform build, from source systems to executive reporting.
Learn MoreProof: Ather Energy: enterprise data lakeCloud Foundations & Migration
Landing zones, org and folder structure, IAM design, billing separation, networking foundations and a security baseline, so cloud starts governed instead of getting fixed later. Includes AWS / Azure → GCP migration and Google Workspace as part of the foundation.
- Landing zones & org structure
- IAM design & security baseline
- Billing separation & cost governance
- AWS / Azure → GCP migration
- Google Workspace setup & migration
Engagement: 6–10-week foundation engagement, repeatable across a portfolio.
Learn MoreProof: Multi-client foundation patternTeam Enablement & Training
The same disciplines we deliver, taught to your engineers. Live cohorts and corporate training built from live deployments rather than slideware.
- Google Cloud foundations
- Agentic AI & LLM engineering
- Data engineering on BigQuery
- Hands-on labs & capstone projects
- Custom learning paths per team
Engagement: Cohort or in-house programme, 4–12 weeks, per-team curriculum.
Learn MoreProof: TechTrapture AcademyDevRel-as-a-Service
Builder-first developer relations for cloud, data and AI platforms. Technical content written by people who ship the systems, which is why it drives adoption rather than impressions.
- Hands-on masterclass videos
- Technical blogs & GitHub repos
- Community activation (25K+ LinkedIn)
- Live workshops & AMAs
- Product feedback loop
Engagement: Retained programme, quarterly content and community calendar.
Learn MoreProof: ElasticWhat Makes Our Agents Different
We don't just build agents that work. We build agents that are safe, auditable, and cost-efficient
Autonomous Agents
Agents receive a high-level goal and independently plan, select tools, and execute multi-step tasks without human prompting.
Sub-Agent Hierarchies
A supervisor agent decomposes work and dispatches specialist sub-agents (Research, Code, Analytics, Writer) running in parallel.
Secure Agents & Guardrails
Role-based access, sandboxed execution, and input/output content policies keep every agent action safe and fully auditable.
LLM Cost Control
Per-task budget caps, intelligent model routing (Gemini Flash vs Gemini Pro vs Claude Opus), and spend dashboards slash AI costs.
Token Optimisation
Prompt compression, semantic caching, context-window trimming, and chunked retrieval minimise tokens per agent run.
Observability & Tracing
Full agent trace logs, step-level latency breakdown, token usage per sub-agent, and real-time alerting out of the box.
Let's Build Something
Extraordinary
Tell us your challenge. We'll design an AI, cloud, or data solution that fits your business, and gets to production faster than you expect.