Remix: Techlit offers custom AI solutions and cognitive architecture to help you launch and scale
your business ideas.

active pipelines: 05/05

architecture: layer-2 adaptive routing

hardware temp: 39.8°c

inference: 32.4ms (p99)

alignment bias: 0.00%

secure tunnel active

Techlit Cognitive Sandbox Console

load idle 0s

Adaptive Inference Optimization Loop (4-7-8)

Optimizes serverless GPU warm-start in 4s (context ingestion), matches vector recall keys across high-density databases within 7s (query expansion), and returns balanced, stream-compressed token packets safely over 8s (response flow).

architectural capabilities

full-stack cognitive infrastructure

we engineer sovereign intelligence environments that run securely on private cloud networks or within localized runtime servers.

adapter fine-tuning & model scaling

we optimize generalist models (Llama, Mistral) on your custom company datasets. by training tailored Rank-1 LoRA adapters and custom instruction embeddings, we deliver hyper-specialized expert models.

pytorch ray clusters awq quantization

sovereign security guardrails

dual-stage protection networks that monitor all input prompts and generated responses. we prevent toxic prompt injection, automatically shield private client PII, and maintain 100% strict alignment compliance.

dual-stage check alignment.yaml

precision vector indexing (rag)

retrieval systems trained to handle hundreds of thousands of corporate PDFs, spreadsheets, and databases. our hybrid dense-sparse vector databases eliminate model hallucinations instantly.

pgvector bm25 hybrid cohere rerank

collaborative agent taskforces

autonomous agents that communicate in closed state loops. we couple web searchers, specialized code auditors, copywriters, and compilers together, allowing multi-step workflows to run fully on autopilot.

langgraph sovereign swarm opentelemetry

interactive simulator

cognitive process visualizer

select a core corporate process pipeline to test our routing flow, vector embeddings recall, and automatic safety alignment loops in live telemetry mode.

available blueprints

active-inquiry: finance-audit

node gpu-h100.3

step 01

1. ingest query

step 02

2. semantic route

step 03

3. vector retrieve

step 04

4. shield rules

step 05

5. output synthesis

// system operational, awaiting trigger simulation node...

click side-buttons to stream alternative agent processes

hardware optimization calculator

calculate token cost efficiency

commercial third-party SaaS model pricing escalates exponentially on large document datasets. Techlit structures customized on-premise model networks with sub-quantized weights keeping compute pipelines ultra-scalable.

latency margin 18ms - 35ms

quantized loss < 0.12%

security baseline 100% private

expected monthly queries 120,000

model parameters & context size

estimated monthly commercial saas api cost $1,200

under Techlit private-edge runtime host cost $180

monthly retainer value saving $1,020 / month

85% reduction

💡

recommended production hardware allocation

1x Virtualized NVIDIA H100 Tensor Core Instance

enterprise cases

cognitive agent production benchmarks

real deployments executed across complex regulatory and financial system landscapes.

nirmaansetu — active node ● live system

nirmaansetu — AI-driven construction management platform

streamlines on-site raw materials logistics, real-time safety compliance monitoring via automated computer vision CCTV audits, labor schedule orchestration, and automated bill-of-quantities (BoQ) extraction with custom fine-tuned Llama models.

logistics delay reduction 35% reduction

boq parsing speed 99.2% accuracy

velox trading — live ledger ○ standby

velox — corporate AI-driven high-frequency trading system

employs low-latency quant-agent modeling coupled with real-time sentiment analysis models tuned for macroeconomic indexes, newsfeeds, and ledger transactions. achieves sub-millisecond execution dispatch.

execution latency < 1.2 ms

alpha generation rate +22.4% yield score

naac core — compliance suite ○ standby

naac automations — higher education AI compliance platform

drastically simplifies national assessment & accreditation council documentation pipelines using intelligent multi-agent RAG workflow chains, compiling, structuring, and auditing institutional self-study reports.

ssr report ready-time 90 days → 5 days

compliance success 100% audit rating

cinema matrix — active node ○ standby

ai movies — generative cinematic pre-production suite

synthesizes screenplay structural analytics, automated storyboards, and multi-agent virtual screenwriting loops to let production houses iterate on casting vectors, scheduling, and dialogue tone.

screenplay storyboard output instant visual feed

casting matching rating 98.1% confidence

NirmaanSetu Live Engine

pipeline node alpha

CAM_04: MAIN HARBOR ENTRANCE

AI Computer Vision Feed

● HELMET SIGNALS: VALID ● SAFETY VEST: OK

estimated cement: 2,140 metric tons (98% confidence)

active labor count: 48 members on scheduled lock

> [18:14:02] nirmaansetu RAG extracted corporate BoQ receipt (success score: 99.2%)

> [18:14:05] safety dispatch sentinel verified 12 active workers on zone tracker

system target hardware configuration: quantum localized fine-tune pipeline cluster (Nashik-Node-01)

enterprise onboarding

initialize your custom agent setup

schedule deep consultation or bootstrap a specialized GPU testing pipeline cluster natively today.

setup requirement: step 1 of 3

what primary cognitive infrastructure does your company require?

custom adapters & domain fine-tuning training private expert models on internal company datasets.

secure enterprise RAG & vector indexes connecting massive unstructured data safely with custom embeddings.

autonomous agent swarms on autopilot linking multiple language nodes to run multi-step workflows.

corporate headquarters

Techlit AI Solutions

📍

Office No 2,3,4,5, Second Floor,
The Ultimate Tower, Behind Vijan Hospital,
College Rd, Nashik, Maharashtra 422005

📞 099757 21517 / +91 99757 21517

✉️ disha.collegeroad@gmail.com

Interactive Geography

Nashik AI Engineering Hub

Lat: 20.0059° N, Lon: 73.7626° E

open location in maps →

Sovereign Model Repositories

Private Open-Weight Models directory

We curate and optimize advanced open weight foundations specifically fine-tuned for specialized company workloads. By coupling 4-bit and 8-bit quantization standards with task-specific Rank-1 adapters (LoRAs), we drastically decrease hardware overhead.

text/reasoning Llama-3.1-8b

LlaMa 3.1 instruct (8B parameters)

Optimized for ultra-responsive multi-agent tasks, client-side browser simulations, and general sentiment classification. Performs at peak throughput.

Context Limit 128k tokens

Quantization AWQ 4-bit / 8-bit

VRAM Allocation < 6.2 GB

high-density rag Mistral-7b-v0.3

Mistral Instruct (7B parameters)

Sub-quantized weight distribution calibrated for unstructured business PDF parsing, financial prospectus metrics recall, and local system integration.

Context Limit 32k tokens

Quantization AWQ 4-bit

VRAM Allocation < 4.8 GB

heavy reasoning Llama-3.1-70b

LlaMa 3.1 instruct (70B parameters)

Capable of highly complex regulatory synthesis, continuous logical audits, legal indexing, and collaborative agent synchronization.

Context Limit 128k tokens

Quantization AWQ 8-bit / FP16

VRAM Allocation < 42 GB

coding/pipeline DeepSeek-33b

DeepSeek coder AI (33B parameters)

Engineered for continuous code compilation, syntax correction, legacy pipeline refactoring, and strict structural JSON schema extraction.

Context Limit 16k tokens

Quantization AWQ 4-bit / GPTQ

VRAM Allocation < 21 GB

Real-Time Spec Estimator

Interactive LoRA Adapter Footprint Calculator

Determine your dedicated training parameters. Slide the token size to see estimated model weight checkpoints, convergence speed, and precision coefficients.

training dataset tokens count 5,000,000 tokens

adapter rank dimension

target parent open-weight

Adapter Checkpoint Size 42.4 MB

Projected Coef Convergence 1,450 steps

Calibration accuracy 99.88% score

💡 Compute Allocation: Estimated total training run time takes approximately 1.2 hours on 1x NVIDIA H100 GPU cluster.

Corporate Dossier

The digital sovereignty alliance

Techlit AI Solutions is a specialized coalition of open-weight artificial intelligence researchers, hardware infrastructure designers, and privacy advocates. We operate high-performance private fiber-ring networks.

absolute data privacy

We compile and ship lightweight container weights that execute 100% locally. Your prompt tokens, financial prospective, and HIPAA metadata never leave your network bounds.

open-weight advocacy

We leverage, fine-tune, and quantize public foundations (LLaMA, Mistral) instead of closed third-party APIs. You own the model weights forever — no licensing locks.

bare-metal deployment

We bypass complex server overheads. Techlit builds models optimized to run on serverless cloud nodes or custom private edge host configurations.

Our Journey & Milestones

2022

Foundation of Techlit Coalition

Established as specialized computer science research laboratory dedicated to sub-quantized weight distribution models.

2023

Release of Adaptive Rank-1 LoRA Pipelines

Shipped proprietary training framework that speeds up targeted open-weight model specialization on small business prospectus files.

2024

Sovereign Client-Edge release

Implemented multi-page sandboxes enabling enterprises to benchmark, simulate pings, and scale production agents with complete privacy.

High-performance edge centers

Localized Host Nodes & Telemetry ping tester

Select one of Techlit's secure private vaults to execute a live round-trip frame telemetry ping from your browser.

// Select a node above to dispatch ICMP frame packet testing...

corporate recruitment

develop with us

Techlit AI Solutions is expanding its engineering base in Nashik. We are building the next generation of autonomous B2B cognitive agents, Llama adapter pipelines, and high-performance vector databases. Explore our live openings and launch your career in the era of sovereign intelligence.

Technical / ML Internship

AI Agents Developer Intern

Work directly on training Lora adapters, engineering multi-agent swarms with LangGraph, and optimizing PyTorch weight calculations. Ideal for computer science students and engineering grads.

Build real-world customer RAG adapters
Write clean TypeScript & Python code
Duration: 3 - 6 months (Nashik Office)

Sales / Corporate BDO Position

Business Development Officer

Lead B2B client acquisition campaigns, consult corporate decision-makers on AI Agent pipelines, and manage software integration proposals.

Engage with state and national enterprise leads
Formulate customized cognitive value models
Experience: 1-3 years in IT/Software Sales

Administration Full Time

HR Recruiter / Generalist

Manage talent acquisition pipelines for machine learning devs, plan engineering onboarding, and handle standard campus placements across engineering campuses.

Coordinate local developer interview drives
Formulate modern digital workspace guidelines
Experience: 1+ years or MBA graduates

Fast Track Submission

Instant Candidate Application Drawer

Fill in your information to instantaneously beam your profile to our HR Desk on WhatsApp.

technical infrastructure

Remix: Techlit offers custom AI solutions and cognitive architecture to help you launch and scale your business ideas.