Leander, Texas · USA +1 512 900 7825 info@anaghasolutionsinc.com
Anagha SolutionsAnagha Solutions
AI-driven engineering · Est. 2018

We put your industry on
the fast track.

Anagha is an AI-native software partner moving finance, healthcare and hospitality forward at the speed of a bullet train — we design, build and operate the systems your growth runs on.

Now connecting Finance Healthcare Hospitality Travel
2018
Founded in Texas
100+
Enterprise clients
6
Products shipped
computing.evolution · 1945 → 2035+ LIVE
80 Years of Computing — Where We Came From 7 eras · vacuum tubes → autonomous AI agents
NOW ▶
1945197019902000201020202035+
1945–65Mainframe
ENIACUNIVACCOBOLFORTRANLISPAssemblerBatch JobsPunch CardsIBM 360Vacuum TubesMagnetic DrumALGOLENIACUNIVACCOBOLFORTRANLISPAssemblerBatch JobsPunch CardsIBM 360Vacuum TubesMagnetic DrumALGOL
1951UNIVAC I1st commercial
1965–85Microchip
Intel 4004C LanguageUnixTCP/IPSQLEthernetARPANETPascalMotorola 68kSmalltalkdBASEFloppy DiskIntel 4004C LanguageUnixTCP/IPSQLEthernetARPANETPascalMotorola 68kSmalltalkdBASEFloppy Disk
1971Intel 4004First microchip
1985–00Internet
LinuxHTMLCSSJavaScriptJavaC++HTTPMySQLPHPApachePerlWindows 95FlashOracleLinuxHTMLCSSJavaScriptJavaC++HTTPMySQLPHPApachePerlWindows 95FlashOracle
1991World Wide WebBerners-Lee
2000–10Web 2.0
PythonREST APIsAWSGitiPhonejQueryRuby on RailsHadoopAgileScrumMongoDBVMwareSOAAJAXPythonREST APIsAWSGitiPhonejQueryRuby on RailsHadoopAgileScrumMongoDBVMwareSOAAJAX
2007iPhone LaunchMobile era
2010–20Cloud
DockerKubernetesReactNode.jsGoRustKafkaTerraformTypeScriptgRPCGraphQLSparkRedisCI/CDMicroservicesDockerKubernetesReactNode.jsGoRustKafkaTerraformTypeScriptgRPCGraphQLSparkRedisCI/CDMicroservices
2014KubernetesContainer era
2020–24AI Native
GenAILLMsClaudeGPT-4RAGVector DBsLangChainMLOpsPyTorchTransformersAutonomous AgentsCUDAFine-tuningEmbeddingsGenAILLMsClaudeGPT-4RAGVector DBsLangChainMLOpsPyTorchTransformersAutonomous AgentsCUDAFine-tuningEmbeddings
2022ChatGPTGenAI inflection
2025–35Beyond AI
AGIQuantum MLNeuromorphicBrain-ChipsPhotonic CPUsDNA StorageSelf-healing InfraAmbient AICausal AIAgentic OSAGIQuantum MLNeuromorphicBrain-ChipsPhotonic CPUsDNA StorageSelf-healing InfraAmbient AICausal AIAgentic OS
2027+AGI?What's next
anagha-ci · pipeline LIVE
18.4k
req / sec
41ms
p99 latency
99.99%
uptime
build → test → AI review → canary → prod
96s
idea → production
Every technology the enterprise runs on — from punchcards to petaflops, we've built, operated, or secured it.
80+
Years of techEvery era · Every stack
ASAssembly FTFortran LSLisp COCOBOL BABASIC C Perl Haskell Bash Erlang C++ Ruby Python Java PHP Scala Lua Groovy C# Clojure F# R JavaScript TypeScript Go Kotlin Swift Elixir Rust Dart Zig JLJulia NMNim
React Vue.js Angular Next.js Node.js Django Spring FastAPI NestJS GraphQL Docker Kubernetes Helm Linux Git GitHub GitLab GH Actions Jenkins Terraform Ansible AWS Google Cloud Azure Grafana Prometheus PostgreSQL MongoDB Redis Kafka Spark Elasticsearch Nginx TensorFlow PyTorch OpenAI Anthropic
Enterprise clients · Who we run for
From Fortune 10 to venture-backed — across every regulated industry.
100+
Enterprises
trusted us
Apple Dell Technologies IBIBM SFSalesforce MSMicrosoft Red Hat Broadcom Cisco SPSailPoint AZAmazon Google OROracle Meta CFConfluent SAP WIWipro HCHCL Technologies PSPersistent Systems LTL&T Infotech CLCengage Learning MAManhattan Associates BABank of America MSMorgan Stanley COCapital One Mastercard Visa NTNorthern Trust UBU.S. Bank LMLiberty Mutual USUSAA AEAmerican Express ZIZurich Insurance HSBC CFCareFirst BCBS UHUnitedHealth Group KPKaiser Permanente MOModerna BCBCBS HUHumana ATAT&T Verizon TMT-Mobile CXComcast DIDisney MGMGM Resorts WAWalmart Target FedEx UPS WMWaste Management HAHalliburton GMGeneral Motors AMAmtrak SWSouthwest Airlines UNUnited Nations

What we do · Services

End-to-end technology, delivered by a single accountable team.

From the first whiteboard to the 90-day hypercare window, one team owns the outcome — strategy, build and operations, against the deadline.

AI Engineering & Automation

We architect production-grade AI systems — LLM orchestration, agentic pipelines, RAG architectures, and predictive models built for real scale and real uptime.

LLM / GenAIMLOpsAgentic AIPredictive Analytics
Read White Paper

Cloud Native Platform Engineering

Kubernetes-native platforms, GitOps workflows, and SRE practices that ship fast and stay available — multi-cloud, multi-region, zero-downtime by design.

AWS · Azure · GCPKubernetesTerraformGitOps / SRE
Read White Paper

Identity & Security (IAM)

Enterprise-grade identity architectures — OAuth2, OIDC, SAML, MFA, RBAC, and zero-trust networking hardened for modern threats and compliance regimes.

OAuth2 · OIDCZero TrustSOC 2 · HIPAAFedRAMP
Read White Paper

The Anagha platform · Live engineering

This is how we run software in production.

Every engagement ships on the same delivery and reliability fabric our own products run on — AI in the pipeline, observability on every service, and SRE that fixes the routine before you wake up. Here it is, live.

SOC 2 Type II HIPAA PCI-DSS
platform.anagha.io / reliability
v4.18.0 us-east-1 · primary LIVE

Reliability Overview

Risk & Ledger platform · 42 services · 5 regions

Deploys today
0
▲ zero-downtime
p99 latency
41 ms
▼ 12% wk
Error budget
96.8%
28d window
Uptime · 90d
99.99%
▲ SLO met
MTTR
4.2 min
▼ 38% qtr

Service topology · live traffic

real-time
Edge / CDNcloudfront Authoauth2 · jwt API Gatewayenvoy Risk Engineml · realtime Ledger Svcevent-source Kafka12 partitions Feature Storefeast Postgresprimary Rediscache · pub/sub Snowflakewarehouse
active route standby

Throughput

global
18.4k
req / sec
1.4B
events / day
0.01%
error rate

Service-level objectives

28d
96.8%budget
Error budget
99.95%attained
SLO attainment

Continuous delivery

build #2841
Build22s
Test · 4.2k31s
AI reviewrunning
Canary5% → 100%
Prodqueued
AI review · 3 suggestions applied · 0 blocking idea → prod · 96s avg

SRE auto-remediation

24 / 7
Regions us-east-1 us-west-2 eu-central-1 · scaling ap-south-1 deployed v4.18.0 · 9a3f1c2 · zero downtime

Why AI-native matters

AI isn't a feature we bolt on. It's how we build.

From the first line of code to the last alert at 3am, intelligence runs through the whole lifecycle — so you move faster with fewer people and fewer surprises.

AI co-engineering

Copilots scaffold, review and test alongside our engineers — shipping more, with higher quality, in a fraction of the time.

Deep dive

Predictive SRE

Models watch your golden signals, catch regressions before users do, and auto-remediate the routine incidents.

Deep dive

Intelligent data

Forecasting, anomaly detection and RAG over your own systems — turning the data you already have into decisions.

Deep dive

Agentic automation

Domain agents handle the repetitive operational work — from catering quotes to reconciliation — under human oversight.

Deep dive

Anagha Products · Built in-house

A portfolio of platforms, not just projects.

Six production-grade products built by our own teams — solving real problems across hospitality, finance, healthcare and talent. Each one in the market, each one running at scale today.

The frontier · Deeper intelligence

Most software automates yesterday. We engineer the intelligence that runs what's next.

The six platforms we've already shipped changed how their industries operate — and that's only step one. Our work now is closing the gap between systems that record what happened and systems that decide what to do, industry by industry.

01

Agentic operations

The gap

Teams still run the repetitive operational work — quotes, reconciliation, scheduling — by hand.

Where we take it

Domain agents that plan, price and resolve entire workflows end to end, with humans in command of the calls that matter.

Read more
02

Self-healing systems

The gap

Incidents are still found by people — usually after customers have already felt them.

Where we take it

Predictive SRE that forecasts failure, reroutes around it and repairs the routine before a human is ever paged.

Read more
03

Decision intelligence

The gap

Dashboards describe the past; the next move waits on an analyst to read them.

Where we take it

Models that turn live system data into the recommended action — surfaced in the flow of work, not a report.

Read more
04

Domain-native AI

The gap

Generic AI doesn't understand the rules of finance, the safety of healthcare or the chaos of hospitality.

Where we take it

Intelligence built on the data, regulations and edge-cases of the three industries we know cold.

Read more
Today6 platforms · 100+ enterprises
Where it's goingIntelligence inside every system we run

We don't sell the future as a slide. We ship it — then operate it, the same way we run everything else.

Industries · Where we go deep

The three industries we know cold.

Depth beats breadth. We've spent years deep inside finance, healthcare and hospitality — long enough to know which trade-offs matter and which corners never compromise.

01
Financial ServicesBanking · Capital Markets · Payments
Regulated platforms where uptime and auditability are not negotiable — ledgers, risk pipelines and payment rails that hold up to scrutiny.
99.99%
Median platform uptime
02
HealthcareProviders · Payors · HealthTech
HIPAA-aligned products and integrations across HL7 v2, FHIR R4 and modern payor APIs — built to keep clinicians in the room, not the chart.
2.4M
Records migrated this year
03
Hospitality & TravelHotels · F&B · Distribution
From RestroAI to OTA-grade booking infrastructure — software for properties that keep selling rooms while you upgrade the stack.
+38%
Lift in direct conversion
2018
Founded in Leander, Texas — built lean and shipping since day one.
100+
Enterprise clients, from venture-backed startups to NYSE-listed firms.
6
In-market products built and operated by our own teams.
24/7
Global SRE coverage keeping client systems on the rails.

Technology

A pragmatic stack, chosen for what the work demands.

No house framework, no preferred vendor — a bench deep enough to choose the right tool, and disciplined enough to live with the choice for a decade.

GenAI & LLM Engineering

LLM orchestration · RAG · agents · evals · fine-tuning

MLOps & Model Serving

Kubeflow · MLflow · SageMaker · real-time inference

Cloud Native & Kubernetes

EKS · GKE · AKS · Istio · Argo · Helm · Terraform

Identity & Access Management

OAuth2 · OIDC · SAML · SSO · MFA · RBAC · Zero Trust

Real-time Data Engineering

Kafka · Flink · Iceberg · Snowflake · dbt · Spark

Observability & SRE

OpenTelemetry · Prometheus · Grafana · PagerDuty

Full-Stack Engineering

React · Angular · Next.js · Node · Java · Spring · iOS · Flutter

Compliance & Governance

SOC 2 · HIPAA · PCI-DSS · FedRAMP · NIST 800-53

Case study · Featured

RestroAI — the operating system for hospitality at scale.

Solace Hotels · Live
RestroAI — Portfolio Operations● LIVE
Good evening, Solace

Portfolio overview · 14 properties · 420 outlets

Today ▾
Revenue · today
$284.6K
▲ 12.4% vs LW
Covers served
8,142
▲ 6.1%
Avg. check
$34.9
▲ 3.2%
Revenue · this week$1.92M
MTWTFSS
Top outlets
Azure Rooftop$48.2K
The Atrium$39.7K
Sole · Marina$31.4K
Lobby Bar$22.9K
AI: prep 18% more covers for Sat dinner

An all-in-one toolset for restaurant and hotel groups — administration, inventory, collaboration, events and intelligent automation in a single ecosystem operators can actually run.

420+
Outlets onboarded
99.97%
Average POS uptime
+27 pts
Inventory accuracy gain
11 days
To onboard a new property

"Anagha didn't sell us software — they sold us the discipline to run our portfolio differently. Twelve weeks in, our GMs were closing books on the same day every month."

Diane Pereira · COO, Solace Hotels

Careers · Join Anagha

Great software is built by people who give a damn.

We hire engineers, designers and consultants who want to own outcomes — and we back them with a team, the tools, and a portal that handles the rest, from timesheets to payroll.

Senior Java Engineer
Leander, TX · Hybrid
Fulltime
React / Angular Developer
Remote · USA
Contract
AI / ML Engineer
Leander, TX · Onsite
Fulltime
Solutions Consultant
Remote · USA
Consulting

Start a conversation

Tell us where you're trying to get to. We'll bring the team that gets you there.

General enquiries
info@anaghasolutionsinc.com
New business
hr@anaghasolutionsinc.com
Call us
+1 512 900 7825
Book a consultation

Anagha Products · Built in-house

A portfolio of platforms, not just projects.

Years building for clients taught us where the real problems live. These six products solve them — each one production-grade, in the market, and operated by our own teams.

Engineering Briefs · Production Systems

Shipped to prod. Runs under load.

Six systems. Six industries. Each brief shows the root cause, the architecture that fixed it, and the production metrics — not wireframes, not PoCs. Real systems, real numbers.

Hospitality OS · Multi-property

RestroAI

Solace Hotels · 14 properties · 420+ outlets
LIVE
Root Cause

7 heterogeneous POS systems (Oracle Micros, Toast, Lightspeed) with no shared event bus. Nightly T+1 batch ETL had zero idempotency guarantees — reconciliation drift of up to 3.2% per close cycle, no portfolio-level OLAP layer.

Architecture · Data Flow
7× POS
Kafka Streams
ML Inference
TimescaleDB
Portfolio API
Kafka Python 3.11 FastAPI TimescaleDB OpenAI GPT-4o Redis k8s / EKS React + TypeScript
420+Outlets on single platform
99.97%POS uptime SLA
<200msPortfolio P99 query
11 daysNew property onboard
"Twelve weeks in, our GMs closed books same-day. Real-time revenue data changed every operational conversation." Diane Pereira · COO, Solace Hotels
Request Engineering Brief
Sitara
AI Catering SaaS · Events Ops

Sitara Catering

Royal Events Group · 200+ events/month
LIVE
Root Cause

Pricing engine lived in a shared Excel workbook — no version control, no audit trail on quote deltas. Supplier price updates required manual cascade across 3 ops managers, averaging 47-hour lag. $40K/quarter margin leak was a data-freshness problem, not a headcount problem.

Architecture · Data Flow
Menu / Pricing DB
LangChain Agent
Quote Engine
Order Tracker
Notify
LangChain FastAPI PostgreSQL Celery + Redis AWS Lambda Twilio React
Faster quote generation
98%Order accuracy rate
$38KPricing errors recovered Q1
90 minQuote TAT (was 2 days)
"Quote turnaround dropped from 2 days to 90 minutes. Close rate jumped 22% the first month. The pricing audit trail alone saved us in a client dispute." Marcus Webb · CEO, Royal Events Group
Request Engineering Brief
GetAlong
Community Platform · Graph ML

GetAlong

TechBridge Communities · 12,000 members
LIVE
Root Cause

Member identity sharded across Slack, Mailchimp, and Airtable — no unified identity graph. Event attendance logic was a cron job scraping Eventbrite with 40% deduplication miss rate. Churn was invisible until it hit the invoice.

Architecture · Data Flow
User Events
Graph Recommender
PG + Redis
Socket.io
Client
Node.js 20 Neo4j PostgreSQL Redis Socket.io AWS ECS React + TypeScript
Member retention lift
+67%Event attendance
2.8×MAU growth in 6 months
<50msGraph query P99
"The graph-based matching surfaced connections our members never would have found manually. Retention went from 38% to over 80% year-over-year." Priya Nair · Head of Community, TechBridge
Request Engineering Brief
MyCPA
FinTech · Tax Automation

MyCPA

Baker & Associates CPA · 600 clients
LIVE
Root Cause

Three SaaS tools (QuickBooks, DocuSign, Sharefile) with no API integration layer — all handoffs were manual copy-paste. Client SLA misses weren't a capacity problem, they were an architecture problem. PDF extraction ran manually by junior staff.

Architecture · Data Flow
Doc Upload
OCR + GPT-4o
Tax Engine
Compliance Gate
Client Portal
OpenAI GPT-4o Tesseract OCR Django PostgreSQL AWS S3 Plaid Stripe React
60%Less manual data entry
5 daysClient SLA (was 21)
ZeroCompliance misses · 2 tax seasons
94%OCR extraction accuracy
"Our clients used to dread tax season. Now they log in, see their live position, and stop calling. The GPT-4o extraction handles what used to take three people a week." Sandra Baker · Managing Partner, Baker & Associates
Request Engineering Brief
Talent Marketplace · Graph Matching

TX4Tech

NovaTech Staffing · 300+ placements/quarter
LIVE
Root Cause

Skills matching ran N+1 JOIN queries on a normalized relational schema — query time degraded O(n²) at 300 candidates. Bench status lived in spreadsheets with no event history. 28-day placement cycle was a data architecture failure.

Architecture · Data Flow
Resume Ingest
spaCy NLP
Neo4j Graph
Match Scorer
Pipeline
spaCy 3.7 Neo4j FastAPI PostgreSQL Apache Airflow AWS EKS React + TypeScript
10 daysTime-to-place (was 28)
80%Bench idle time eliminated
98%Client satisfaction score
<80msGraph match query P99
"Switching from SQL JOINs to a graph model was the unlock. We're placing 2× more engineers with the same team, and the bench almost never sits idle." Josh Nair · VP Operations, NovaTech Staffing
Request Engineering Brief
Capital Markets · HFT Infrastructure

Trade Engine

NovaTrade Capital · high-frequency execution
LIVE
Root Cause

45ms P99 on a synchronous RPC execution path — lock contention on a shared order book mutex. Audit trail was daily WAL reconstruction across 3 databases, not event-sourced. Three regulatory near-misses were traceability failures, not execution failures.

Architecture · Data Flow
Order Signal
Pre-trade Risk Gate
Matching Engine
Event Log
Settlement
C++17 LMAX Disruptor Kafka TimescaleDB Redis FIX 4.4 Prometheus k8s
<1msExecution latency P99
100%Immutable audit coverage
0Downtime events · 18 months
$2.4MRegulatory risk avoided
"The LMAX Disruptor pattern eliminated the mutex bottleneck entirely. Every trade is logged to the microsecond — the regulator can replay any day in seconds. We sleep fine now." Karen Liu · CTO, NovaTrade Capital
Request Engineering Brief

Leadership

The people behind the platform.

Built by engineers, architects and consultants who have shipped production systems across finance, healthcare and hospitality — and know what it takes to keep them running.

Akhil Reddy

Akhil Reddy

Founder & CEO

We build technology with purpose, so businesses grow with confidence.

Strategy AI / ML Product
Venkat Parsi

Venkat Parsi

Principal Architect

Scalable platforms are built today, for problems we'll face tomorrow.

Architecture Cloud Enterprise
LinkedIn
Ravi Samadula

Ravi Samadula

Full-Stack Engineer

From interface to infrastructure, building it all with clarity.

Java React AWS
LinkedIn
Roja Thathe

Roja Thathe

Full-Stack Engineer

Connecting front-end vision with back-end precision.

UI/UX Spring Boot Microservices
Vinod kumar

Vinod kumar

Manager, Anagha Solutions Inc.

Building products and teams that move fast and stay grounded.

ManagementAustin, TX
LinkedIn
Praveen G

Praveen G

Senior Software Engineer

Engineering high-throughput systems with an eye for operational elegance.

JavaSpring BootKafka
LinkedIn
Ahmad Shaik

Ahmad Shaik

Cloud & DevOps Engineer

Automating delivery pipelines so teams ship with confidence, not ceremony.

AWSKubernetesTerraform
LinkedIn

Careers · Join Anagha

Great software is built by people who give a damn.

We hire engineers, architects and consultants who want to own outcomes — and we back them with a team, the tools, and a portal that handles the rest.

Senior Java Engineer
Leander, TX · Hybrid
Fulltime
React / Angular Developer
Remote · USA
Contract
AI / ML Engineer
Leander, TX · Onsite
Fulltime
Solutions Consultant
Remote · USA
Consulting