AI & Agentic
AI & Agentic Systems
Agents, RAG and private LLM platforms with evals, tracing and a human approving every action that matters.
Founder-led AI, cloud and industrial engineering
AI, cloud and plant systems that run in production.
Ideaxa Solutions designs, builds and operates agentic AI, cloud platforms and live digital twins for enterprise teams — with the founder accountable for the architecture, and fixed-fee contracts instead of an hourly meter.
Since 201620+ clientsNDA on every engagement
Ideaxa live campusSimulated
Simulated · every building healthy
AI agentsMCPvLLMDigital twinsBACnetAWSGCPAzureKubernetesTerraformKafkaClickHouseNext.jsPythonGoRAGOPC-UAModbusMQTTPostgresSnowflakedbtAirflow
- Years running production systems
- 10+Years running production systems
- Clients served
- 20+Clients served
- Client retention over 12 months
- 96%Client retention over 12 months
- Infrastructure cost cut on record
- 85%Infrastructure cost cut on record
- Digital twins in production
- 9Digital twins in production
- First response on a new scope
- 24hFirst response on a new scope
See Ideaxa at work
From sensor to decision, in about 90 seconds.
The live campus, the twin platform running an AI data centre and a hospital, and real faults found and priced on a GPU rack and a chiller. Recorded from the pages you can open yourself.
The video opens on the Ideaxa live campus, a simulated model of a hospital, an AI data centre, a VRF office tower and a chiller plant linked to one twin core, then shows the sensor-to-decision loop every engagement follows. It runs the twin platform's AI data centre through a simulated day, injects a cold-plate blockage into a liquid-cooled GPU rack, which turns amber and then red as the energy lost is booked, tours a hospital twin's operating-theatre air handlers, ICU and isolation rooms, fouls a chiller's condenser, and reads a VRF floor through its gateway. It closes on results from delivered engagements (85% lower infrastructure spend, 99.999% telemetry reliability, 62% of support tickets auto-resolved, nine digital twins in production), the rule that Ideaxa is a consultancy and never a competitor to a client's product, and an invitation to talk to the founder. All twins run on simulated, generic data.
Practices
Four practices, one accountable team.
Buy one practice for a single outcome, or the whole stack under a Fractional CTO. Every practice is led by the founder and delivered by senior engineers.
Cloud & Platform
Cloud, Data & Platform
Landing zones, cost-cut repatriation, data platforms, SRE and compliance — built, then operated or handed over.
Industrial & Twins
Industrial IoT & Digital Twins
BMS and plant telemetry over BACnet, Modbus and MQTT, and physics-informed live twins of chillers, VRF and GPU pods.
Leadership
Technology Leadership
Fractional CTO and advisory retainers, and same-day production rescue when it is already on fire.
Digital Twin Facility
Live twins of real plant, running in your browser.
Physics-informed digital twins of chillers, VRF floors and liquid-cooled GPU pods. Inject a fault and watch the twin find it, colour the part and price the energy lost.
- Connected to your BMS or gateway over BACnet, Modbus or MQTT
- Judged against healthy physics at the same load, not fixed alarm limits
- Energy loss priced per fault, per part
- Nine twins in production, from 2,400 TR chiller plants to 50 MW AI factories
Live digital twin
500 kW water-cooled screw chiller
Runs entirely in your browser · about 1–2 MB
A full refrigeration cycle drawn as a precise model. A simulator plays the chiller and its sensors; the health engine sees only the readings and blames each fault on its own component.
Try this
- Press “Condenser fouling” under Inject a fault
- See the condenser turn amber, then red, in seconds
- Check Energy now for the kW lost against a healthy chiller
Built by Ideaxa Solutions with simulated, generic plant data. Isometric drawing kit by Ryan, used under the MIT licence.
Selected work
Outcomes we can put a number on.
Anonymised under NDA, with generic reference architectures. Every figure is from the delivered engagement.
Cloud, Data & PlatformNDA · AI & analytics SaaS
85% infrastructure cost cut with a hybrid bare-metal platform
High-growth AI and analytics SaaS
Managed databases, vector search and LLM API tokens had grown into a six-figure monthly bill. We moved the heavy paths onto owned infrastructure without giving up the cloud where it earns its keep.
- Lower recurring infrastructure spend
- 85%Lower recurring infrastructure spend
- Query latency, down from 350 ms
- <45 msQuery latency, down from 350 ms
- Unencrypted network paths
- 0Unencrypted network paths
AI & Agentic SystemsNDA · Connected hardware
An AI agent that resolves 62% of support tickets
Hardware and cloud device vendor
Non-engineers needed to triage field faults across a device fleet. We built the telemetry path and a retrieval-grounded agent over internal runbooks and ticket history.
- Support tickets auto-resolved
- 62%Support tickets auto-resolved
- End-to-end answer at p95
- <4 sEnd-to-end answer at p95
- Languages, English and Hindi
- 2Languages, English and Hindi
Industrial IoT & Digital TwinsNDA · Commercial buildings
A live digital twin of a 2,400 TR central chiller plant
Production twin on a private client platform
Three 800 TR water-cooled centrifugal chillers on primary-secondary pumping, modelled from first principles and bound to live plant telemetry so faults show up as physics, not as alarms after the fact.
- kW/TR plant efficiency tracked live
- 0.58kW/TR plant efficiency tracked live
- Chiller COP on the dashboard
- 6.06Chiller COP on the dashboard
- Cooling-tower approach watched per cell
- 2.8 °CCooling-tower approach watched per cell
Industrial IoT & Digital TwinsNDA · Commercial real estate
Every VRF unit in a 10-floor office tower on one live model
Production twin on a private client platform
359 indoor fan-coil units and 20 rooftop outdoor units, read through their gateways and drawn floor by floor so facilities staff can see comfort, faults and efficiency at once.
- Indoor units on one live view
- 359Indoor units on one live view
- Outdoor condensing units modelled
- 20Outdoor condensing units modelled
- Floors zoned independently
- 10Floors zoned independently
Industrial IoT & Digital TwinsNDA · Data centres
Thermal twin of a 50 MW AI factory and its liquid-cooled GPU racks
Production twin on a private client platform
360 racks at 40–100 kW each on direct-to-chip cooling, perimeter air and dry coolers. The twin tracks every loop against healthy physics and prices the energy a fault is costing.
- Facility modelled end to end
- 50 MWFacility modelled end to end
- Racks at 40–100 kW each
- 360Racks at 40–100 kW each
- Simulated PUE against a 1.12–1.25 target
- 1.18Simulated PUE against a 1.12–1.25 target
Cloud, Data & PlatformNDA · Financial services
Zero-trust multi-account landing zone that passed SOC 2 first time
Regulated financial services provider
A monolithic cloud estate with shared credentials and flat networking had an audit date. We rebuilt it as modular, policy-bounded accounts with every change in code.
- Type II passed with zero findings on first evaluation
- SOC 2Type II passed with zero findings on first evaluation
- Infrastructure provisioned from code
- 100%Infrastructure provisioned from code
- Public IP exposures left
- 0Public IP exposures left
Client names and identifiers are withheld. References and detail are available under a mutual NDA.
Why Ideaxa
From sensor to decision, with a person signing off.
The loop every engagement is some part of. Data is collected, modelled against healthy physics, diagnosed by an agent — and nothing touches production until a human approves it.
How it fits togetherSensor to decision
- 01
One accountable architect
The founder owns the architecture from sensor to decision. No hand-offs between a sales team and a delivery bench.
- 02
Zero cloud tax
Owned and sovereign infrastructure where it pays: an 85% infrastructure cost cut is on record.
- 03
Live digital twins
Physics-informed twins of real plant, not slideware. Nine are in production.
- 04
Agentic AI with guardrails
Evals, tracing, human approval on every action and private inference when the data cannot leave.
- 05
NDA-first, compliance-ready
Delivery against SOC 2, ISO 27001, GDPR, HIPAA and the DPDP Act, with evidence your auditor accepts.
- 06
Outcome contracts
Fixed fees and retainers with written acceptance criteria. No hourly meter.
Our hard rule
Consulting only. Never your competitor.
Ideaxa Solutions is a consultancy, and that is all it will be. We do not build, sell or license products that compete with our clients' products. It is a hard rule, and we will write it into your Master Services Agreement.
How we protect client work →- No Ideaxa product will ever compete with yours, now or later
- Everything we build for you is assigned to you on payment: source, models, designs and IP
- One client's confidential work, data or designs are never reused for another
- Your roadmap stays yours: we advise and build, we do not take your idea to market
How we engage
Fixed fees and retainers. No hourly meter.
Every relationship starts with a mutual NDA and a two-week assessment, then runs on a Master Services Agreement with one statement of work per engagement.
- 01
Scoping call
Thirty minutes with the founder. We tell you what is realistic, including when the answer is that you do not need us yet.
- 02
Mutual NDA and assessment
NDA first, then a two-week fixed-fee assessment that ends in a written roadmap and a priced proposal.
- 03
MSA and SOW
One master agreement, one statement of work per engagement: scope, milestones, acceptance criteria and price in writing.
- 04
Deliver and hand over
Weekly demos and a written changelog, then source, runbooks and recorded walkthroughs. Stay on for operations if you want.
Fixed fee · 2 weeks
Architecture & AI Readiness Assessment
From
$6,000
fixed fee
A senior review of your architecture, cloud spend, data and AI readiness, with a written roadmap and a priced plan.
- Architecture, security and cost review
- AI and data readiness scorecard
- Written roadmap with options and trade-offs
- Fee credited against a follow-on SOW signed within 60 days
Fixed fee · 2–6 weeks
Fixed-scope Delivery Sprint
From
$25,000
fixed fee
One outcome, one price: a cloud-cost cut, a platform migration, a ClickHouse or IIoT ingestion path, or a production AI-agent pilot.
- Written acceptance criteria per milestone
- Demo at every milestone
- Source, runbooks and handover included
- Milestone billing 30 / 40 / 30
Retainer · 15–20 hours a week
Fractional CTO
From
$10,000
per month
Accountable technical leadership without a full-time hire: roadmap, architecture ownership, team and board narrative.
- Systems architecture and cloud cost ownership
- Stack, cloud and LLM provider decisions
- Weekly reviews and engineering mentoring
- C-suite and board technical guidance
Founder-led
Sachin Rana, founder of Ideaxa Solutions
Founder · Agentic AI Architect · Fractional CTO
Every engagement has the founder accountable for the architecture, from the first diagram to production. No account manager between you and the person making the technical decisions.
- Agentic AI and LLM platforms
- Cloud repatriation and zero-trust landing zones
- Nine physics-informed digital twins in production
- Fractional CTO for founders and enterprise teams
Clients
What the people who hired us say.
We hired Ideaxa to get us through our first SOC2 audit. They rewrote our infra-as-code, hardened IAM, set up an evidence pipeline, and sat in the auditor calls. We cleared Type II without a single critical finding.
Sachin embedded with us for 6 months as our fractional CTO. He wrote the architecture, hired our first three senior engineers, and was in the room when we closed our seed round. When we were ready for a full-time CTO, he ran the loop and onboarded them.
The MQTT broker they run is the only reason we can test our edge devices before shipping to a customer. We’ve tried AWS IoT Core, HiveMQ Cloud, and a self-managed EMQX. The Ideaxa broker has the lowest latency of the four.
Insights
Notes from production systems.
- Cloud & DevOpsThe Cost Architecture of an LLM Product: Cache First, Route Second, Optimise LastWhere the money actually goes in a production LLM system, why the usual optimisation order is backwards, and the gateway architecture that makes spend a property you control rather than discover.
- AI & MLEvaluating Agents in Production: Trajectories, Judges, and the Harness That Survives a Model SwapOutput-only evaluation misses the failures that matter. An architecture for scoring the path an agent takes, running judges you can afford, and turning production traces into the eval set.
- AI & MLMCP in Production: The Gateway, the Auth Problem, and What Breaks at Fifty ServersModel Context Protocol won the integration argument. Now the hard parts are operational: propagating identity, controlling blast radius, and stopping tool definitions from eating the context window.
Start with a scoping call.
Thirty minutes with the founder. Bring your architecture diagram, your cloud bill or your plant drawings, and leave with what is realistic — including when the answer is that you do not need us yet.
Mutual NDA before any detail is shared. First response within 24 hours.